Archer to work alongside IBM in progressing quantum computing – ZDNet

Archer CEO Dr Mohammad Choucair and quantum technology manager Dr. Martin Fuechsle

Archer Materials has announced a new agreement with IBM which it hopes will advance quantum computing and progress work towards solutions for the greater adoption of the technology.

Joining the IBM Q Network, Archer will gain access to IBM's quantum computing expertise and resources, seeing the Sydney-based company use IBM's open-source software framework, Qiskit.

See also: Australia's ambitious plan to win the quantum race

Archer is the first Australian company that develops a quantum computing processor and hardware to join the IBM Q Network. The IBM Q Network provides access to the company's experts, developer tools, and cloud-based quantum systems through IBM Q Cloud.

"We are the first Australian company building a quantum chip to join into the global IBM Q Network as an ecosystem partner, a group of the very best organisations at the forefront of quantum computing." Archer CEO Dr Mohammad Choucair said.

"Ultimately, we want Australian businesses and consumers to be one of the first beneficiaries of this exciting technology, and now that we are collaborating with IBM, it greatly increases our chances of success".

Archer is advancing the commercial readiness of its12CQ qubit processor chip technology towards a minimum viable product.

"We look forward to working with IBM and members of the network to address the most fundamental challenges to the wide-scale adoption of quantum computing, using our potentially complementary technologies as starting points," Choucair added.

In November, Archer said it was continuing to inch towards its goal of creating a room temperature quantum computer, announcing at the time it had assembled a three qubit array.

The company said it has placed three isolated qubits on a silicon wafer with metallic control electrodes being used for measurement. Archer has previously told ZDNet it conducts measurements by doing magnetic fields sweeps at microwave frequencies.

"The arrangement of the qubits was repeatable and reproducible, thereby allowing Archer to quickly build and test working prototypes of quantum information processing devices incorporating a number of qubits; individual qubits; or a combination of both, which is necessary to meet Archer's aim of building a chip for a practical quantum computer," the company said.

In August, the company said it hadassembled its first room-temperature quantum bit.

Archer is building chip prototypes at the Research and Prototype Foundry out of the University of Sydney's AU$150 million Sydney Nanoscience Hub.

2020s are the decade of commercial quantum computing, says IBM

IBM spent a great deal of time showing off its quantum-computing achievements at CES, but the technology is still in its very early stages.

What is quantum computing? Understanding the how, why and when of quantum computers

There are working machines today that perform some small part of what a full quantum computer may eventually do. But what are the real-world applications for quantum computing?

Quantum computing has arrived, but we still don't really know what to do with it

Even for a technology that makes a virtue of uncertainty, where quantum goes next is something of a mystery.

Quantum computing: Myths v. Realities (TechRepublic)

Futurist Isaac Arthur explains why quantum computing is a lot more complicated than classical computing.

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Archer to work alongside IBM in progressing quantum computing - ZDNet

Why global collaboration is key to Accelerated Discovery – World Economic Forum

A short line down, slow and steady, followed by five more to complete a perfect hexagon.

As a 15-year-old in Madrid, I loved my science classes. I had a particularly inspiring chemistry teacher who challenged us to memorize the entire periodic table. I cherished going to the labs, experimenting with bubbly liquids changing color as I heated up my flask steamy substances changing phase before my eyes and drawing funny stick diagrams of molecules.

Decades later, in 2015, I would see the same perfect hexagon in an image of a molecule taken with the Nobel Prize-winning scanning tunneling microscope designed by IBM in the early 1980s. As a teenager, I believed stick diagrams were platonic ideals, an easy way to represent the realm of the small. And here I was, staring at a very real molecule of pentacene a row of five hexagons. I was transported back to my teenage years, when I peeked into the future. Suddenly, the future was right there in front of me.

Today, the lead scientist of that project, IBM Research chemist Leo Gross, and other researchers around the world routinely image molecules. They can even snap a picture as molecules change their charge state, and before and after a chemical reaction.

But its not just chemical imaging thats making leaps and bounds. The entire scientific method is getting turbocharged. Thats partly due to cutting-edge tools like artificial intelligence (AI) and quantum computers futuristic machines that look like steampunk golden chandeliers. Its also due to the changing way we do science. At last, the world is starting to grasp the importance of public-private collaborations to scientific discovery. And the COVID-19 pandemic is a catalyst to several such successful global partnerships.

We should keep the momentum. Classical high-performance computers (HPC), AI and quantum computing on their own are powerful, but the potential is even greater. To truly embrace the Future of Computing, policymakers, industry and academia have to create an infrastructure in which these technologies work together, boosting and complementing each other.

At the nodes of this infrastructure should be strategic national and international partnerships, with industry, academia and governments working jointly to accelerate progress, better prepare for and address global threats, and improve the world. We need more scientists in leadership positions in government and industry. And we need to ensure seamless links between policymakers and researchers, in regular times and during global emergencies.

One global collaboration we should create is what I suggest calling the Science Readiness Reserves (SRR). This organization would help rapidly mobilize researchers who are experts in various global disasters, connecting scientists worldwide with organizations that have cutting-edge technology, such as supercomputers or quantum computers.

The impact will touch every sector of our society and economy. We have all the ingredients to make it happen: bits, neurons and qubits. The secret sauce? They have to work together.

IBM Q System One, the world's first fully integrated universal quantum computing system

Image: IBM

Take pentacene, that simple molecule I once loved to draw, five perfect hexagons connected side to side. With 22 electrons and 22 orbitals, its among the most complex molecules we can simulate on a traditional, classical computer.

But there are billions upon billions of molecular configurations more possible combinations for a new molecule than there are atoms in the universe.

Sifting effectively through this vast chemical space would allow us to rapidly find a specific molecule and create a new material with the properties we want. This could unlock endless possibilities of material design for life-saving drugs, better batteries, more advanced prosthetic limbs or faster and safer cars, advancing healthcare, manufacturing, defense, biotechnology, communications and nearly every other industry. This design ability would replace our centuries-old reliance on serendipity in material discovery something weve been through with plastics, Teflon, Velcro, Vaseline, vulcanized rubber and so many other breakthroughs. Even graphene the atom-thick layer of carbon and the thinnest, strongest material known was discovered by (informed) chance, when physicist Kostya Novoselov found discarded Scotch tape in his labs waste basket.

Material design has long been a slow and iterative process. Typically, researchers jog between experiments, theory and simulations between a computer, perfecting calculations that approximate the behavior of unknown molecules, and a lab, to test if the molecules work as predicted, in a seemingly never-ending loop. Yes, high-performance computing (HPC) can simulate simple physical and chemical processes. Yes, advances in HPC have helped us pinpoint potentially useful molecules for lab tests. And yes, AI is increasingly valuable in screening novel high-performance materials, creating models to assess the relationship between the behavior of matter and its chemical structure, predicting properties of unknown substances and combing through previously published papers.

Still, it takes years to develop new materials. We need to inject quantum into the mix and get bits, neurons and qubits to play side by side.

We all deal with bits daily, from toddlers aptly manipulating tablets to autonomous robots clearing up the site of a nuclear power plant accident. Bits power smartphones, the brain scanner in our local hospital and a remotely controlled NASA rover on Mars. Artificial neurons, on the other hand, are mathematical functions that help AIs deep neural networks learn complex patterns, loosely mimicking natural neurons our brains nerve cells.

Then there are qubits, the fundamental units of information. They are bits oddball and much younger quantum cousins. Qubits behave just like atoms, with weird properties of superposition (being in multiple states at once) and entanglement (when one qubit changes its state at the same time as its entangled partner, even if they are light years apart). While a classical computer has to sift through potential combinations of values of a bit (0 or 1), one at a time, a quantum computer can make an exponential number of states interact simultaneously.

Molecules are groups of atoms held together by chemical bonds, and qubits are a great way to simulate a molecules behavior. For material design, quantum computing will add an invaluable extra dimension: accurate simulations of much more complex molecular systems.

Beyond material discovery, quantum computers will be a boon in any field where its necessary to predict the best outcome based on many possibilities, such as calculating the investment risk of a financial portfolio or the most optimal fuel-saving path for a passenger jet. This technology is just entering the phase of commercialization, accessible and programmable through the cloud.

At IBM, we believe quantum computers will reach the so-called quantum advantage outperforming any classical computer in certain use cases within this decade.

At IBM, we believe quantum computers will reach the so-called quantum advantage outperforming any classical computer in certain use cases within this decade.

When that happens, the world will no longer be the same provided we dont forget the secret sauce. Bits, neurons and qubits are powerful on their own, but working together, they will trigger a true technology revolution enabling a new Accelerated Discovery workflow, the default scientific method of the future.

In healthcare, this will impact drug discovery and lead to better personalized medicine, more efficient bioprinting of organs and rapidly developed vaccines. AI is already helping classical computers speed up medical imaging, diagnosis and data analysis. Quantum computers could, in the future, assist AI algorithms to find new patterns by exploring extremely high dimensional feature spaces, impacting fields like imaging and pathology. Together, HPC, AI and quantum computers have the potential to help us deal with dwindling food supplies, pollution, CO2 capture, energy storage and climate change. And this method will complement our own assessments of the risks of global threats that havent happened yet but could at any time.

This brings me to the other element needed to achieve the Future of Computing: national and international collaborations.

The pandemic has shown that public-private collaborations work, even when composed of industry rivals. Formed in March 2020, the COVID-19 High Performance Computing Consortium brought together government, industry leaders and academic labs to pool computing resources to support scientists conducting COVID-19 research. The collaboration also offers critical data sharing and creativity exchange.

This is the kind of collaboration we need on a global scale, beyond pandemics. The boost to the scientific method powered by quantum, HPC and AI can help address and improve many elements of society, from cybersecurity to entertainment to manufacturing. It is time to also reimagine how we use the talent in our science and technology institutions, and explore new ways to foster collaboration. This is why the proposed Science Readiness Reserves could be so important.

Science is vital to our future prosperity and health. It always has been, and always will be. If ever we needed a wake-up call to recognize the urgency of science and the power of collaboration, the time is now.

The World Economic Forum was the first to draw the worlds attention to the Fourth Industrial Revolution, the current period of unprecedented change driven by rapid technological advances. Policies, norms and regulations have not been able to keep up with the pace of innovation, creating a growing need to fill this gap.

The Forum established the Centre for the Fourth Industrial Revolution Network in 2017 to ensure that new and emerging technologies will helpnot harmhumanity in the future. Headquartered in San Francisco, the network launched centres in China, India and Japan in 2018 and is rapidly establishing locally-run Affiliate Centres in many countries around the world.

The global network is working closely with partners from government, business, academia and civil society to co-design and pilot agile frameworks for governing new and emerging technologies, including artificial intelligence (AI), autonomous vehicles, blockchain, data policy, digital trade, drones, internet of things (IoT), precision medicine and environmental innovations.

Learn more about the groundbreaking work that the Centre for the Fourth Industrial Revolution Network is doing to prepare us for the future.

Want to help us shape the Fourth Industrial Revolution? Contact us to find out how you can become a member or partner.

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Why global collaboration is key to Accelerated Discovery - World Economic Forum

This Week’s Awesome Tech Stories From Around the Web (Through August 22) – Singularity Hub

COMPUTING

IBM Doubles Its Quantum Computer PerformanceStephen Shankland | CNETTheres now a race afoot to make the fastest quantum computer. What makes the quantum computing competition different from most in the industry is that rivals are taking wildly different approaches. Its like a race pitting a horse against a car against an airplane against a bicycle.

750 Million Genetically Engineered Mosquitos Approved for Release in Florida KeysSandee LaMotte | CNNthe pilot project is designed to test if a genetically modified mosquito is a viable alternative to spraying insecticides to control the Aedes aegypti. Its a species of mosquito that carries several deadly diseases, such as Zika, dengue, chikungunya, and yellow fever.

A Rocket Scientists Love Algorithm Adds Up During Covid-19Stephen Marche | WiredOnline dating isway up, with more than half of users saying they have been on their dating appsmore during lockdown than before. Just as local businesses had to rush onto delivery platforms, and offices had to figure out Zoom meeting schedules, so the hard realities of the disease have pushed love in the direction it was already going: fully online.

How a Designer Used AI and Photoshop to Bring Ancient Roman Emperors Back to LifeJames Vincent | The VergeMachine learning is a fantastic tool for renovating old photos and videos. So much so that it can even bring ancient statues to life, transforming the chipped stone busts of long-dead Roman emperors into photorealistic faces you could imagine walking past on the street.

What If We Could Live for a Million Years?Avi Loeb | Scientific AmericanWith advances in bioscience and technology, one can imagine a post-Covid-19 future when most diseases are cured and our life span will increase substantially. If that happens, how would our goals change, and how would this shape our lives?

A Radical New Model of the Brain Illuminates Its WiringGrace Huckins | WiredThe brain literally is a network, agrees Olaf Sporns, a professor of psychological and brain sciences at Indiana University. Its not a metaphor. Im not comparing apples and oranges. I think this is literally what it is. And if network neuroscience can produce a clearer, more accurate picture of the way that the brain truly works, it may help us answer questions about cognition and health that have bedeviled scientists since Brocas time.

How Life Could Continue to EvolveCaleb Scharf | Nautilustheultimate currency of life in the universe may be life itself: The marvelous genetic surprises that biological and technological Darwinian experimentation can come up with given enough diversity of circumstances and time. Perhaps, in the end, our galaxy, and even our universe, is simply the test tube for a vast chemical computation exploring a mathematical terrain of possibilities that stretches on to infinity.

British Grading Debacle Shows Pitfalls of Automating GovernmentAdam Satariano | The New York TimesThose who have called for more scrutiny of the British governments use of technology said the testing scandal was a turning point in the debate, a vivid and easy-to-understand example of how software can affect lives.

Image credit: ESA/Hubble & NASA, J. Lee and the PHANGS-HST Team; Acknowledgment: Judy Schmidt (Geckzilla)

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This Week's Awesome Tech Stories From Around the Web (Through August 22) - Singularity Hub

Quantum Computing Market Growth By Manufacturers, Countries, Types And Application, End Users And Forecast To 2026 – 3rd Watch News

New Jersey, United States,- Verified Market Research sheds light on the market scope, potential, and performance perspective of the Quantum Computing Market by carrying out an extensive market analysis. Pivotal market aspects like market trends, the shift in customer preferences, fluctuating consumption, cost volatility, the product range available in the market, growth rate, drivers and constraints, financial standing, and challenges existing in the market are comprehensively evaluated to deduce their impact on the growth of the market in the coming years. The report also gives an industry-wide competitive analysis, highlighting the different market segments, individual market share of leading players, and the contemporary market scenario and the most vital elements to study while assessing the Quantum Computing market.

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Quantum Computing Market Growth By Manufacturers, Countries, Types And Application, End Users And Forecast To 2026 - 3rd Watch News

Quantum plan will be ready in a few months; we arent irreversibly behind others: Prof Ashutosh Sharma, Secretary, DST – The Financial Express

A fortnight ago, the US Department of Energy released its blueprint of a quantum internet; earlier this year one of its partnering Universities had set up a quantum loop to transfer protons. Close to Hague, Delft University researchers will be testing a similar project later this year. While India does not have any such groundbreaking research in the field, it is moving towards setting this up.

The FM, in her speech, announced setting up of a National Quantum Technology Mission with an investment of Rs 8,000 crore over five years. Prof Ashutosh Sharma, secretary, department of science and technology, in a conversation with Ishaan Gera, discusses the developments in the field of quantum technology, and how the government is moving towards creating a holistic ecosystem.Edited excerpts:

Quantum technology is emerging and also very disruptive. Like all exponential technologies, it would expand rapidly. Department of Science and Technology had started an initiative on quantum technology in 2018. In this, we first did a mapping of researchers in the country. To see who is working on what aspects of quantum technology, what kind of infrastructure or potential we have. And, what kind of human resources are there and how they need to be trained. Being a new area, you need to build from scratch. And, as you know, there are many applications of quantum that have emerged, which is quantum computing, communication, security or quantum key distribution, clocks, sensors, imaging devices, quantum material or superconductivity. And, of course, Quantum algorithms, which are now getting integrated into the new quantum mission.

In 2018, there were nearly 100 research groups in areas and over 100 PhD students. We made a scheme for three years with Rs 186 crore.

Progress has been in smaller-sized areas. Fifty groups have been identified. Meanwhile, bigger interest has developed. Departments like MeiTY, Isro and DRDO have started looking towards this area. Isro, for instance, is looking at satellites for quantum communication. We decided to upscale, and that is what the mention of Rs 8,000 crore in the Budget was all about.

Consultations have been going on. We have had half a dozen meetings till now. Detailed DPR is nearly drafted, and in another couple of weeks, we will have that ready. Lockdown has slowed down progress, but in another couple of months, we will get started. Now, this mission is interesting in many aspects. One is the content. However, the structure is extremely critical. We have an institute of quantum technologies, which sets up the mission and target. There will be some element of research to it, but its primary job will be coordinating the mission and targets, for example, setting targets like at least a 50-qubit quantum computer within five years. It will also guide the development of sub-systems and sub-technologies required. There will be a national committee chaired by a scientist, someone who knows the domain.

The apex committee will have one-third representation from all stakeholders. We are looking to involve the industry right from the beginning so that they will constitute one-third. Academia and R&D will have one-third share, and the ministry will have a third share to present their demands. We need to cover the entire knowledge ecosystem. We will be doing human resource generation from undergrad to PhD and post-doctoral programmes.

We will also have technology transmission and incubation. So, there are enough incubators for start-ups. Funding from start-ups can also come from here. Two-way participation will be flexible. We will either employ the industry or give them money. This usually hasnt been happening as far as the government is concerned. So, we will be signing MoUs with the industry and international MoUs. As we want to attract the best talent, salaries would be as per industry standards.

The second tier is the hubs, which will function as mini ministries focused on a particular area. These are aggregators and custodians of all activities in that area. Below hubs are centres. Centres will be geographical entities, like IITs. Below centres, we have spikes. This is a hub-spoke-spikes model. These will be one group or two groups which are working on a specific technology. So, we will cover the entire knowledge ecosystem, instead of working in silos.

There is also flexibility in powers given to the mission. They dont have to come back to the ministry for funds. They will be able to invite people from abroad and send our researchers abroad. We should remain plugged into the global ecosystem. And, we cannot catch up if we dont have expertise.

A similar model was put in place for interdisciplinary cyber-physical systems, started last year at an investment of Rs 3,660 crore. We have established 21 hubs, and we are looking at four research parks. Each hub has an incubator and an integrated process. Because of the coronavirus, we have slowed down, but the project is underway. Hubs are Section 8 companies with an autonomous board, and they are empowered to make all decisions. Apex committee is set up with a top-level vision, and they do not micromanage.

Supercomputing mission is now fully operational. We are currently assembling and partly producing supercomputers in India; earlier, we had a plan to import. We have set this up in three different phases. Chips we are importing, but board-level integration is done in India. Six supercomputers have been made, three have been installed, and three will be installed within a month; 12 more will come by next year. We will also pick up other things, design and everything will happen here. Another domain is the cyber-physical mission, which caters to technologies like artificial intelligence, machine learning, IoT, Blockchain, Industry 4.0 and VR/VR/MR. These intersections will provide a lot of muscle.

Supercomputing mission has a private partnership based on a global tender. We had given the contract to a French company, which has now set up its base in Pune.

We will also have a hub for policy regulation and ethics. We call it light and shadow of technology. In India, we are developing policy in consonance. Standards are also an important part. No matter what technology we develop, if we cant figure out standards, we cannot sell it within India or globally. Globally, standards are driven by companies and not by governments.

We are following a model of collaboration and cooperation. If something is high-risk, initially the government will do the funding. As we proceed further, the government will slowly exit and industry will put in more. So, we have a graded approach. We are integrating the industry from the first day. Industry, in our new model, has the same right to make use of resources.

We are just beginning. Often in these frontier technologies, the nation didnt invest the kind of resources that were needed. Semi-conductors and processors is one example. We have remedied that here. Our investment is comparable to what Europeans and Americans are doing. We are not going sub-critical. China, for instance, started a year or two ago. But we are not irreversibly behind.

New science, technology and innovation policy is in the making. And, by the end of this year, we will have it ready. This policy considers some of the concerns regarding the industry. We need a science technology, and innovation policy and stakeholder consultation has been going on for the last three months.

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Quantum plan will be ready in a few months; we arent irreversibly behind others: Prof Ashutosh Sharma, Secretary, DST - The Financial Express

Quantum entanglement demonstrated on orbiting CubeSat – University of Strathclyde

25 June 2020

In a critical step toward creating a global quantum communications network, researchers have generated and detected quantum entanglement onboard a CubeSat nanosatellite weighing less than 2.6 kg and orbiting the Earth.

The University of Strathclyde is involved in an international team which has demonstrated that their miniaturised source of quantum entanglement can operate successfully in space aboard a low-resource, cost-effective CubeSat that is smaller than a shoebox. CubeSats are a standard type of nanosatellite made of multiples of 10 cm 10 cm 10 cm cubic units.

The quantum mechanical phenomenon known as entanglement is essential to many quantum communications applications. However, creating a global network for entanglement distribution is not possible with optical fibers because of the optical losses that occur over long distances. Equipping small, standardised satellites in space with quantum instrumentation is one way to tackle this challenge in a cost-effective manner.

The research, led by the National University of Singapore, has been published in the journal Optica.

Dr Daniel Oi, a Senior Lecturer in Strathclydes Department of Physics, is the Universitys lead on the research. He said: This research has tested next generation quantum communication technologies for use in space. With the results confirmed, its success bodes well for forthcoming missions, for which we are developing the next enhanced version of these instruments.

As a first step, the researchers needed to demonstrate that a miniaturised photon source for quantum entanglement could stay intact through the stresses of launch and operate successfully in the harsh environment of space within a satellite that can provide minimal power. To accomplish this, they exhaustively examined every component of the photon-pair source used to generate quantum entanglement to see if it could be made smaller or more rugged.

The new miniaturised photon-pair source consists of a blue laser diode that shines on nonlinear crystals to create pairs of photons. Achieving high-quality entanglement required a complete redesign of the mounts that align the nonlinear crystals with high precision and stability.

The researchers qualified their new instrument for space by testing its ability to withstand the vibration and thermal changes experienced during a rocket launch and in-space operation. The photon-pair source maintained very high-quality entanglement throughout the testing and crystal alignment was preserved, even after repeated temperature cycling from -10 C to 40 C.

The researchers incorporated their new instrument into SpooQy-1, a CubeSat that was deployed into orbit from the International Space Station on 17 June 2019. The instrument successfully generated entangled photon-pairs over temperatures from 16 C to 21.5 C.

The researchers are now working with RAL Space in the UK to design and build a quantum nanosatellite similar to SpooQy-1 with the capabilities needed to beam entangled photons from space to a ground receiver. This is slated for demonstration aboard a 2022 mission. They are also collaborating with other teams to improve the ability of CubeSats to support quantum networks.

Strathclyde is the only university which is a partner in all four of the UKs Quantum Technology Hubs, in Sensing and Timing, Quantum Enhanced Imaging, Quantum Computing and Simulation and Quantum Communications Technologies. Dr Oi is Strathclydes lead on a forthcoming CubeSat mission being developed by the Quantum Communications Technologies Hub.

Dr Oi is also Chief Scientific Officer with Craft Prospect, a space engineering practice that delivers mission-enabling products and develops novel mission applications for small space missions. The company is based in the Tontine Building in the Glasgow City Innovation District, which is transforming the way academia, business and industry collaborate to bring competitive advantage to Scotland.

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Quantum entanglement demonstrated on orbiting CubeSat - University of Strathclyde

Is teleportation possible? Yes, in the quantum world – University of Rochester

Quantum teleportation is an important step in improving quantum computing.

Beam me up is one of the most famous catchphrases from the Star Trek series. It is the command issued when a character wishes to teleport from a remote location back to the Starship Enterprise.

While human teleportation exists only in science fiction, teleportation is possible in the subatomic world of quantum mechanicsalbeit not in the way typically depicted on TV. In the quantum world, teleportation involves the transportation of information, rather than the transportation of matter.

Last year scientists confirmed that information could be passed between photons on computer chips even when the photons were not physically linked.

Now, according to new research from the University of Rochester and Purdue University, teleportation may also be possible between electrons.

In a paper published in Nature Communications and one to appear in Physical Review X, the researchers, including John Nichol, an assistant professor of physics at Rochester, and Andrew Jordan, a professor of physics at Rochester, explore new ways of creating quantum-mechanical interactions between distant electrons. The research is an important step in improving quantum computing, which, in turn, has the potential to revolutionize technology, medicine, and science by providing faster and more efficient processors and sensors.

Quantum teleportation is a demonstration of what Albert Einstein famously called spooky action at a distancealso known as quantum entanglement. In entanglementone of the basic of concepts of quantum physicsthe properties of one particle affect the properties of another, even when the particles are separated by a large distance. Quantum teleportation involves two distant, entangled particles in which the state of a third particle instantly teleports its state to the two entangled particles.

Quantum teleportation is an important means for transmitting information in quantum computing. While a typical computer consists of billions of transistors, called bits, quantum computers encode information in quantum bits, or qubits. A bit has a single binary value, which can be either 0 or 1, but qubits can be both 0 and 1 at the same time. The ability for individual qubits to simultaneously occupy multiple states underlies the great potential power of quantum computers.

Scientists have recently demonstrated quantum teleportation by using electromagnetic photons to create remotely entangled pairs of qubits.

Qubits made from individual electrons, however, are also promising for transmitting information in semiconductors.

Individual electrons are promising qubits because they interact very easily with each other, and individual electron qubits in semiconductors are also scalable, Nichol says. Reliably creating long-distance interactions between electrons is essential for quantum computing.

Creating entangled pairs of electron qubits that span long distances, which is required for teleportation, has proved challenging, though: while photons naturally propagate over long distances, electrons usually are confined to one place.

In order to demonstrate quantum teleportation using electrons, the researchers harnessed a recently developed technique based on the principles of Heisenberg exchange coupling. An individual electron is like a bar magnet with a north pole and a south pole that can point either up or down. The direction of the polewhether the north pole is pointing up or down, for instanceis known as the electrons magnetic moment or quantum spin state. If certain kinds of particles have the same magnetic moment, they cannot be in the same place at the same time. That is, two electrons in the same quantum state cannot sit on top of each other. If they did, their states would swap back and forth in time.

The researchers used the technique to distribute entangled pairs of electrons and teleport their spin states.

We provide evidence for entanglement swapping, in which we create entanglement between two electrons even though the particles never interact, and quantum gate teleportation, a potentially useful technique for quantum computing using teleportation, Nichol says. Our work shows that this can be done even without photons.

The results pave the way for future research on quantum teleportation involving spin states of all matter, not just photons, and provide more evidence for the surprisingly useful capabilities of individual electrons in qubit semiconductors.

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Is teleportation possible? Yes, in the quantum world - University of Rochester

The Role of Quantum Computing in Online Education – MarketScale

On this episode of the MarketScale Online Learning Minute, host Brian Runo dives into how quantum computing, the next revolutionary leap forward in computing, could apply to online education.

In particular, it can be used to epitomize the connectivism theory and provide personalized learning for each individual, as its not restricted by the capacity of an individual instructor.

In this way, each learner can be empowered to learn at their own pace and be presented with materials more tailored to them in real-time.

In fact, quantum computing is so revolutionary that the education world likely cant even currently dream up the innovations it will enable.

For the latest news, videos, and podcasts in theEducation Technology Industry, be sure to subscribe to our industry publication.

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The Role of Quantum Computing in Online Education - MarketScale

The future of quantum computing is Azure bright and you can try it – The American Genius

As time goes on, the value of efficiency and convenience becomes more and more important. Weve seen this in many examples from talk-to-text, to ordering food directly to your door without ever even speaking to another human.

Now coming into the convenience game is a keyboard that allows you to scan instead of type. Anyline is the new keyboard that instantly collects data with the snap of a camera.

Scan ID information, serial numbers, vouchers, IBANs, and barcodes in an instant with your smartphone, as it is compatible with Android and iOS. The app also allows you to scan things such as gift card barcodes, phone numbers you see on street advertisements, and more so, in a sense, it brings CTRL + C to real life.

With your smartphone, you can instantly collect data with the scan function on your keyboard. The platform is compatible with messenger, email, and browser apps. You scan the data and instantly paste it where you want it, saving the time of manual data entry.

This would be useful for scanning things to your notes section that you may refer to often, like your health insurance ID number, your WiFi router information, credit card info and what not.With anything else like this, the concern of privacy is always there so make sure youre doing what you can to protect your information (using a passcode and/or Face ID, not using shared/public networks, etc.) While you should know it by heart, I would recommend not ever scanning your social security number.

However, something like this does save a lot of time as it doesnt involve mistyping it picks up a barcode accurately. Also, you wont need someone reading something back to you so you can accurately type it down into your phone.

This could be a simple way to save time and become a more efficient person in general, and it makes it easier to share information with others. This is also super helpful for people who have trouble reading the teeny tiny type that barcodes are often displayed in.

Comment your thoughts below, and share any tips you use to help further your efficiency!

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The future of quantum computing is Azure bright and you can try it - The American Genius

The technical realities of functional quantum computers – is Googles ten-year plan for Quantum Computing viable? – Diginomica

In March, I explored the enterprise readiness of quantum computing in Quantum computing is right around the corner, but cooling is a problem. What are the options? I also detailed potential industry use cases, from supply chain to banking and finance. But what are the industry giants pursuing?

Recently, I listened to two somewhat different perspectives on quantum computing. One is Googles (public) ten-year plan.

Google plans to search for commercially viable applications in the short term, but they dont think there will be many for another ten years - a time frame I've heard one referred to as bound but loose. What that meant was, no more than ten, maybe sooner. In the industry, the term for the current state of the art is NISQ Noisy, Interim Scale Quantum Computing.

The largest quantum computers are in the 50-70 qubit range, and Google feels NISQ has a ceiling of maybe two hundred. The "noisy" part of NISQ is because the qubits need to interact and be nearby. That generates noise. The more qubits, the more noise, and the more challenging it is to control the noise.

But Google suggests the real unsolved problems in fields like optimization, materials science, chemistry, drug discovery, finance, and electronics will take machines with thousands of qubits and even envision one million on a planar array etched in aluminum. Major problems need solving such noise elimination, coherence, and lifetime (a qubit holds its position in a tiny time slice).

In the meantime, Google is seeking customers to work with them to find applications working with Google researchers. Quantum computing needs algorithms as much as it needs qubits. It requires customers with a strong in-house science team and a commitment of three years. Whatever is discovered will be published as open source.

In summary, Google does not see commercial value in NISQ. They are using NISQ to discover what quantum computing can do that has any commercial capability.

First of all, if you have a picture in your mind of a quantum computer, chances are you are not including an essential element a conventional computer. According toQuantum Computing, Progress, and Prospects:

Although reports in the popular press tend to focus on the development of qubits and the number of qubits in the current prototypical quantum computing chip, any quantum computer requires an integrated hardware approach using significant conventional hardware to enable qubits to be controlled, programmed, and read out.

The author is undoubtedly correct. Most material about quantum computers never mentions this, and it raises quite a few issues that can potentially dilute the gee-whiz aspect. I'd heard this first from Itamar Sivan, Ph.D., CEO, Quantum Machines. He followed with the quip that technically, quantum computers aren't computers. Its that simple. They are not Turing Machines. File this under the category of "You're Not Too Old to Learn Something New.

From (Hindi) Theory of Computation - Turing Machine:

A Turing machine is a mathematical model of computation that defines an abstract machine, which manipulates symbols on a strip of tape according to a table of rules. Despite the model's simplicity, given any computer algorithm, a Turing machine capable of simulating that algorithm's logic can be constructed.

Dr. Sivan clarified this as follows:

Any computer to ever be used, from the early-days computers, to massive HPCs, are all Turing-machines, and are thereforeequivalent to one another. All computers developedand manufactured in the last decades, are all merelybigger and more compact variations of one another. A quantum computer however is not MERELY a more advanced Turing machine, it is a different type of machine, and classical Turing machines are not equivalent to quantum computers as they are equivalent to one another.

Therefore, the complexity of running particular algorithms on quantum computers is different from the complexity of running them on classical machines. Just to make it clear, a quantum computer can be degenerated to behave like a classical computer, but NOT vice-versa.

There is a lot more to this concept, but most computers you've ever seen or heard of are Turing Machines, except Quantum computers. This should come as no surprise because anything about quantum mechanics is weird and counter-intuitive, so why would a quantum computer be any different?

According to Sivan, a quantum computer needs three elements to perform: a quantum computer and an orchestration platform of (conventional) hardware and software. There is no software in a quantum computer. The platform manages the progress of their algorithm through, mostly laser beams pulses. The logic needed to operate the quantum computer resides with and is controlled by the orchestration platform.

The crucial difference in Google's and Quantum Machines' strategy is that Google views the current NISQ state of affairs as a testbed for finding algorithms and applications for future development. At the same time, Sivan and his company produced an orchestration platform to put the current technology in play. Their platform is quantum computer agnostic it can operate with any of them. Sivan feels that focusing solely on the number of qubits is just part of the equation. According to Dr. Sivan:

While today's most advanced quantum computers only have a relatively small number of available qubits (53 for IBM's latest generation and 54 for Google's Sycamore processor), we cannot maximize the potential of even this relatively small count. We are leaving a lot on the table with regards to what we can already accomplish with the computing power we already have. While we should continue to scale up the number of qubits, we also need to focus on maximizing what we already have.

Ive asked a few quantum computer scientists if quantum computers can solve the Halting Problem.In Wikipedia:

The halting problem is determining, from a description of an arbitrarycomputer programand an input, whether the program will finish running, or continue to run forever.Alan Turingproved in 1936 that a generalalgorithmto solve the halting problem for all possible program-input pairs could not exist.

That puts it in a class of problems that are undecidable. Oddly, opinion was split onthequestion, despite Turings Proof. Like Simplico said to Galileo inDialogues Concerning Two New Sciences, If Aristotle had not said otherwise I would have believed it.

There are so many undecidable problems in math that I wondered if some of these might fall out.For example, straight from current AI problems, Planning in aPartially observable Markov decision process is considered undecidable. A million qubits? Maybe not. After all, Dr. Sivan pointed out that toreplicate in a classical processor, the information in just a 300 qubit quantum processor would require more transistors than all of the atoms inthe universe.

I've always believed that action speaks louder than words. While Google is taking the long view, Quantum Machines provides the platform to see how far we can go with current technology. Googles tactics are familiar. Every time you use TensorFlow, it gets better. Every time play with their autonomous car, it gets better. Their collaboration with a dozen or so technically advanced companies makes their quantum technology better.

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The technical realities of functional quantum computers - is Googles ten-year plan for Quantum Computing viable? - Diginomica

Riverlane partner with bio-tech company Astex – Quantaneo, the Quantum Computing Source

Riverlane builds ground-breaking software to unleash the power of quantum computers. Chemistry is a key application in which quantum computing can be of significant value, as high-level quantum chemistry calculations can be solved far faster than using classical methods.

World leaders in drug discovery and development, Astex Pharmaceuticals apply innovative solutions to treat cancer and diseases of the central nervous system.The two companies will join forces to combine their expertise in quantum computing software and quantum chemistry applications to speed up drug development and move us closer to quantum advantage.

As part of the collaboration, Astex are funding a post-doctoral research scientist at Riverlane. They will apply very high levels of quantum theory to study the properties of covalent drugs, in which protein function is blocked by the formation of a specific chemical bond.So far in this field of research, only empirical methods and relatively low levels of quantum theory have been applied. Riverlane will provide access to specialised quantum software to enable simulations of the target drug-protein complexes.

Dave Plant, Principal Research Scientist at Riverlane, said: This collaboration will produce newly enhanced quantum chemical calculations to drive efficiencies in the drug discovery process. It will hopefully lead to the next generation of quantum inspired pharmaceutical products.

Chris Murray, SVP of Discovery Technology at Astex said: "We are excited about the prospect of exploring quantum computing in drug discovery applications. It offers the opportunity to deliver much more accurate calculations of the energetics associated with the interaction of drugs with biological molecules, leading to potential improvements in drug discovery productivity."

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Riverlane partner with bio-tech company Astex - Quantaneo, the Quantum Computing Source

What Is the Many-Worlds Theory of Quantum Mechanics? – The Wire

Photo: Kelly Sikkema/Unsplash.

Quantum physics is strange. At least, it is strange to us, because the rules of the quantum world, which govern the way the world works at the level of atoms and subatomic particles (the behaviour of light and matter, as the renowned physicist Richard Feynman put it), are not the rules that we are familiar with the rules of what we call common sense.

The quantum rules, which were mostly established by the end of the 1920s, seem to be telling us that a cat can be both alive and dead at the same time, while a particle can be in two places at once. But to the great distress of many physicists, let alone ordinary mortals, nobody (then or since) has been able to come up with a common-sense explanation of what is going on. More thoughtful physicists have sought solace in other ways, to be sure, namely coming up with a variety of more or less desperate remedies to explain what is going on in the quantum world.

These remedies, the quanta of solace, are called interpretations. At the level of the equations, none of these interpretations is better than any other, although the interpreters and their followers will each tell you that their own favored interpretation is the one true faith, and all those who follow other faiths are heretics. On the other hand, none of the interpretations is worse than any of the others, mathematically speaking. Most probably, this means that we are missing something. One day, a glorious new description of the world may be discovered that makes all the same predictions as present-day quantum theory, but also makes sense. Well, at least we can hope.

Meanwhile, I thought I might provide an agnostic overview of one of the more colorful of the hypotheses, the many-worlds, or multiple universes, theory. For overviews of the other five leading interpretations, I point you to my book, Six Impossible Things. I think youll find that all of them are crazy, compared with common sense, and some are more crazy than others. But in this world, crazy does not necessarily mean wrong, and being more crazy does not necessarily mean more wrong.

If you have heard of the Many Worlds Interpretation (MWI), the chances are you think that it was invented by the American Hugh Everett in the mid-1950s. In a way thats true. He did come up with the idea all by himself. But he was unaware that essentially the same idea had occurred to Erwin Schrdinger half a decade earlier. Everetts version is more mathematical, Schrdingers more philosophical, but the essential point is that both of them were motivated by a wish to get rid of the idea of the collapse of the wave function, and both of them succeeded.

Also read: If You Thought Quantum Mechanics Was Weird, Wait Till You Hear About Entangled Time

As Schrdinger used to point out to anyone who would listen, there is nothing in the equations (including his famous wave equation) about collapse. That was something that Bohr bolted on to the theory to explain why we only see one outcome of an experiment a dead cat or a live cat not a mixture, a superposition of states. But because we only detect one outcome one solution to the wave function that need not mean that the alternative solutions do not exist. In a paper he published in 1952, Schrdinger pointed out the ridiculousness of expecting a quantum superposition to collapse just because we look at it. It was, he wrote, patently absurd that the wave function should be controlled in two entirely different ways, at times by the wave equation, but occasionally by direct interference of the observer, not controlled by the wave equation.

Although Schrdinger himself did not apply his idea to the famous cat, it neatly resolves that puzzle. Updating his terminology, there are two parallel universes, or worlds, in one of which the cat lives, and in one of which it dies. When the box is opened in one universe, a dead cat is revealed. In the other universe, there is a live cat. But there always were two worlds that had been identical to one another until the moment when the diabolical device determined the fate of the cat(s). There is no collapse of the wave function. Schrdinger anticipated the reaction of his colleagues in a talk he gave in Dublin, where he was then based, in 1952. After stressing that when his eponymous equation seems to describe different possibilities (they are not alternatives but all really happen simultaneously), he said:

Nearly every result [the quantum theorist] pronounces is about the probability of this or that or that happening with usually a great many alternatives. The idea that they may not be alternatives but all really happen simultaneously seems lunatic to him, just impossible. He thinks that if the laws of nature took this form for, let me say, a quarter of an hour, we should find our surroundings rapidly turning into a quagmire, or sort of a featureless jelly or plasma, all contours becoming blurred, we ourselves probably becoming jelly fish. It is strange that he should believe this. For I understand he grants that unobserved nature does behave this waynamely according to the wave equation. The aforesaid alternatives come into play only when we make an observation which need, of course, not be a scientific observation. Still it would seem that, according to the quantum theorist, nature is prevented from rapid jellification only by our perceiving or observing it it is a strange decision.

In fact, nobody responded to Schrdingers idea. It was ignored and forgotten, regarded as impossible. So Everett developed his own version of the MWI entirely independently, only for it to be almost as completely ignored. But it was Everett who introduced the idea of the Universe splitting into different versions of itself when faced with quantum choices, muddying the waters for decades.

It was Hugh Everett who introduced the idea of the Universe splitting into different versions of itself when faced with quantum choices, muddying the waters for decades.

Everett came up with the idea in 1955, when he was a PhD student at Princeton. In the original version of his idea, developed in a draft of his thesis, which was not published at the time, he compared the situation with an amoeba that splits into two daughter cells. If amoebas had brains, each daughter would remember an identical history up until the point of splitting, then have its own personal memories. In the familiar cat analogy, we have one universe, and one cat, before the diabolical device is triggered, then two universes, each with its own cat, and so on. Everetts PhD supervisor, John Wheeler, encouraged him to develop a mathematical description of his idea for his thesis, and for a paper published in the Reviews of Modern Physics in 1957, but along the way, the amoeba analogy was dropped and did not appear in print until later. But Everett did point out that since no observer would ever be aware of the existence of the other worlds, to claim that they cannot be there because we cannot see them is no more valid than claiming that the Earth cannot be orbiting around the Sun because we cannot feel the movement.

Also read: What Is Quantum Biology?

Everett himself never promoted the idea of the MWI. Even before he completed his PhD, he had accepted the offer of a job at the Pentagon working in the Weapons Systems Evaluation Group on the application of mathematical techniques (the innocently titled game theory) to secret Cold War problems (some of his work was so secret that it is still classified) and essentially disappeared from the academic radar. It wasnt until the late 1960s that the idea gained some momentum when it was taken up and enthusiastically promoted by Bryce DeWitt, of the University of North Carolina, who wrote: every quantum transition taking place in every star, in every galaxy, in every remote corner of the universe is splitting our local world on Earth into myriad copies of itself. This became too much for Wheeler, who backtracked from his original endorsement of the MWI, and in the 1970s, said: I have reluctantly had to give up my support of that point of view in the end because I am afraid it carries too great a load of metaphysical baggage. Ironically, just at that moment, the idea was being revived and transformed through applications in cosmology and quantum computing.

Every quantum transition taking place in every star, in every galaxy, in every remote corner of the universe is splitting our local world on Earth into myriad copies of itself.

The power of the interpretation began to be appreciated even by people reluctant to endorse it fully. John Bell noted that persons of course multiply with the world, and those in any particular branch would experience only what happens in that branch, and grudgingly admitted that there might be something in it:

The many worlds interpretation seems to me an extravagant, and above all an extravagantly vague, hypothesis. I could almost dismiss it as silly. And yet It may have something distinctive to say in connection with the Einstein Podolsky Rosen puzzle, and it would be worthwhile, I think, to formulate some precise version of it to see if this is really so. And the existence of all possible worlds may make us more comfortable about the existence of our own world which seems to be in some ways a highly improbable one.

The precise version of the MWI came from David Deutsch, in Oxford, and in effect put Schrdingers version of the idea on a secure footing, although when he formulated his interpretation, Deutsch was unaware of Schrdingers version. Deutsch worked with DeWitt in the 1970s, and in 1977, he met Everett at a conference organized by DeWitt the only time Everett ever presented his ideas to a large audience. Convinced that the MWI was the right way to understand the quantum world, Deutsch became a pioneer in the field of quantum computing, not through any interest in computers as such, but because of his belief that the existence of a working quantum computer would prove the reality of the MWI.

This is where we get back to a version of Schrdingers idea. In the Everett version of the cat puzzle, there is a single cat up to the point where the device is triggered. Then the entire Universe splits in two. Similarly, as DeWitt pointed out, an electron in a distant galaxy confronted with a choice of two (or more) quantum paths causes the entire Universe, including ourselves, to split. In the DeutschSchrdinger version, there is an infinite variety of universes (a Multiverse) corresponding to all possible solutions to the quantum wave function. As far as the cat experiment is concerned, there are many identical universes in which identical experimenters construct identical diabolical devices. These universes are identical up to the point where the device is triggered. Then, in some universes the cat dies, in some it lives, and the subsequent histories are correspondingly different. But the parallel worlds can never communicate with one another. Or can they?

Deutsch argues that when two or more previously identical universes are forced by quantum processes to become distinct, as in the experiment with two holes, there is a temporary interference between the universes, which becomes suppressed as they evolve. It is this interaction that causes the observed results of those experiments. His dream is to see the construction of an intelligent quantum machine a computer that would monitor some quantum phenomenon involving interference going on within its brain. Using a rather subtle argument, Deutsch claims that an intelligent quantum computer would be able to remember the experience of temporarily existing in parallel realities. This is far from being a practical experiment. But Deutsch also has a much simpler proof of the existence of the Multiverse.

What makes a quantum computer qualitatively different from a conventional computer is that the switches inside it exist in a superposition of states. A conventional computer is built up from a collection of switches (units in electrical circuits) that can be either on or off, corresponding to the digits 1 or 0. This makes it possible to carry out calculations by manipulating strings of numbers in binary code. Each switch is known as a bit, and the more bits there are, the more powerful the computer is. Eight bits make a byte, and computer memory today is measured in terms of billions of bytes gigabytes, or Gb. Strictly speaking, since we are dealing in binary, a gigabyte is 230 bytes, but that is usually taken as read. Each switch in a quantum computer, however, is an entity that can be in a superposition of states. These are usually atoms, but you can think of them as being electrons that are either spin up or spin down. The difference is that in the superposition, they are both spin up and spin down at the same time 0 and 1. Each switch is called a qbit, pronounced cubit.

Using a rather subtle argument, Deutsch claims that an intelligent quantum computer would be able to remember the experience of temporarily existing in parallel realities.

Because of this quantum property, each qbit is equivalent to two bits. This doesnt look impressive at first sight, but it is. If you have three qbits, for example, they can be arranged in eight ways: 000, 001, 010, 011, 100, 101, 110, 111. The superposition embraces all these possibilities. So three qbits are not equivalent to six bits (2 x 3), but to eight bits (2 raised to the power of 3). The equivalent number of bits is always 2 raised to the power of the number of qbits. Just 10 qbits would be equivalent to 210 bits, actually 1,024, but usually referred to as a kilobit. Exponentials like this rapidly run away with themselves. A computer with just 300 qbits would be equivalent to a conventional computer with more bits than there are atoms in the observable Universe. How could such a computer carry out calculations? The question is more pressing since simple quantum computers, incorporating a few qbits, have already been constructed and shown to work as expected. They really are more powerful than conventional computers with the same number of bits.

Deutschs answer is that the calculation is carried out simultaneously on identical computers in each of the parallel universes corresponding to the superpositions. For a three-qbit computer, that means eight superpositions of computer scientists working on the same problem using identical computers to get an answer. It is no surprise that they should collaborate in this way, since the experimenters are identical, with identical reasons for tackling the same problem. That isnt too difficult to visualize. But when we build a 300-qbit machinewhich will surely happenwe will, if Deutsch is right, be involving a collaboration between more universes than there are atoms in our visible Universe. It is a matter of choice whether you think that is too great a load of metaphysical baggage. But if you do, you will need some other way to explain why quantum computers work.

Also read: The Science and Chaos of Complex Systems

Most quantum computer scientists prefer not to think about these implications. But there is one group of scientists who are used to thinking of even more than six impossible things before breakfast the cosmologists. Some of them have espoused the Many Worlds Interpretation as the best way to explain the existence of the Universe itself.

Their jumping-off point is the fact, noted by Schrdinger, that there is nothing in the equations referring to a collapse of the wave function. And they do mean thewave function; just one, which describes the entire world as a superposition of states a Multiverse made up of a superposition of universes.

Some cosmologists have espoused the Many Worlds Interpretation as the best way to explain the existence of the Universe itself.

The first version of Everetts PhD thesis (later modified and shortened on the advice of Wheeler) was actually titled The Theory of the Universal Wave Function. And by universal he meant literally that, saying:

Since the universal validity of the state function description is asserted, one can regard the state functions themselves as the fundamental entities, and one can even consider the state function of the whole universe. In this sense this theory can be called the theory of the universal wave function, since all of physics is presumed to follow from this function alone.

where for the present purpose state function is another name for wave function. All of physics means everything, including us the observers in physics jargon. Cosmologists are excited by this, not because they are included in the wave function, but because this idea of a single, uncollapsed wave function is the only way in which the entire Universe can be described in quantum mechanical terms while still being compatible with the general theory of relativity. In the short version of his thesis published in 1957, Everett concluded that his formulation of quantum mechanics may therefore prove a fruitful framework for the quantization of general relativity. Although that dream has not yet been fulfilled, it has encouraged a great deal of work by cosmologists since the mid-1980s, when they latched on to the idea. But it does bring with it a lot of baggage.

The universal wave function describes the position of every particle in the Universe at a particular moment in time. But it also describes every possible location of those particles at that instant. And it also describes every possible location of every particle at any other instant of time, although the number of possibilities is restricted by the quantum graininess of space and time. Out of this myriad of possible universes, there will be many versions in which stable stars and planets, and people to live on those planets, cannot exist. But there will be at least some universes resembling our own, more or less accurately, in the way often portrayed in science fiction stories. Or, indeed, in other fiction. Deutsch has pointed out that according to the MWI, any world described in a work of fiction, provided it obeys the laws of physics, really does exist somewhere in the Multiverse. There really is, for example, a Wuthering Heights world (but not a Harry Potter world).

That isnt the end of it. The single wave function describes all possible universes at all possible times. But it doesnt say anything about changing from one state to another. Time does not flow. Sticking close to home, Everetts parameter, called a state vector, includes a description of a world in which we exist, and all the records of that worlds history, from our memories, to fossils, to light reaching us from distant galaxies, exist. There will also be another universe exactly the same except that the time step has been advanced by, say, one second (or one hour, or one year).

But there is no suggestion that any universe moves along from one time step to another. There will be a me in this second universe, described by the universal wave function, who has all the memories I have at the first instant, plus those corresponding to a further second (or hour, or year, or whatever). But it is impossible to say that these versions of me are the same person. Different time states can be ordered in terms of the events they describe, defining the difference between past and future, but they do not change from one state to another. All the states just exist. Time, in the way we are used to thinking of it, does not flow in Everetts MWI.

John Gribbin is a Visiting Fellow in Astronomy at the University of Sussex, UK and the author of In Search of Schrdingers Cat, The Universe: A Biography and Six Impossible Thingsfrom which this article is excerpted.

Thisarticlehas been republished fromThe MIT Press Reader.

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What Is the Many-Worlds Theory of Quantum Mechanics? - The Wire

Playing God and parental drive in Devs, Fringe and Arrival – SYFY WIRE

Tales of experiments gone wrong are a staple of science fiction, filled with depictions of scientists flexing their abilities and resources for personal reasons. Motives range from a thirst for power to a savior complex stemming from an incident closer to home. The common thread of the latter includes parents doing everything in their power to save their child. When combined with great intellect the ramifications of this drive can be far-reaching.

This is the case in the recent Alex Garland sci-fi limited series Devs, which grapples with free will versus determinism via the overreach of tech companies, and those pulling the strings. Depicting a version of the near future that doesn't look too dissimilar to the current proliferation of controlling Silicon Valley moguls, Devs portrays the development of secret quantum technology and its potential impact on moral the fabric of society. Fitting into a larger narrative of parents, technology, and the loss of a child, CEO Forest (Nick Offerman) sits alongside the likes Fringe's Walter Bishop (John Noble) and Amy Adams as linguist Louise Banks in Arrival. Trauma implicitly shapes us and informs future actions, which is magnified further when the person suffering is also in possession of the power to change this outcome. Who will play God to save their loved ones?

Spoilers ahead for Devs.

Motives clouded by individual stakes are often more dangerous because it becomes impossible to put any sense of reasoning or distance on a decision that includes an emotional tether. The first episode of Devs reveals that Amaya boss Forest will do anything including murder to protect the secrets being held in the belly of the woodland area of the sprawling tech company campus. A creepy statue of his daughter (also called Amaya) towers over the redwood trees, her hands expectedly cupped as if she is waiting for a giant ball to be tossed toward her.

Midway through the series, it is revealed that Amaya (Amaya Mizuno-Andr), along with Forest's wife Lianne (Georgia King) died in a car accident, which occurred while Lianne was on the phone to her husband, chastising him for calling when they were so close to home. The theme of a scientist using their prowess to alter events to avoid a tragedy is another repeated theme, which Alex Garland's series explores from a quantum physics and philosophical perspective. Forest isn't attempting time travel, but he does want to go back to a version of reality before this incident.

Most people would probably do anything to change a life-altering event like this one. Beyond wishful thinking, this is not something most people can contemplate. However, Forest is reminiscent of Fringe's Walter Bishop in his attempt to save his child. Both men possess the necessary scientific acumen to aid their quest, even if it has wider implications on the nature of existence. Taking on the masculine attribute of fixing things, these two men will alter the fabric of existence to reach a satisfactory solution. In contrast, Louise Banks learns of a language that changes how she perceives time but doesn't use this knowledge to save her heart. The memories peppering Arrival of her sick daughter who died are "recollections" of events that have yet to occur. She has the power to stop this from ever happening, but at what cost?

Hubris is a factor that ensures men like Forest and Walter believe what they are doing is for the greater good when it only serves themselves. Louise knows her daughter will die and her husband will leave her but chooses to keep her secret and do nothing to change it. She is a time traveler without having to ever time travel; instead, she is privy to information that could determine how she acts in the present. She takes on a god-like sensibility because she is omniscient a power she uses to stop an intergalactic war but never wields to save her marriage or the child she knows will die from an incurable illness.

"Despite knowing the journey and where it leads, I embrace it. And I welcome every moment of it," she says without a flicker of regret. As a mother she is going to fight for her child; similarly, she is not going to not have this baby because she knows her life will be cut short. If she does, she will lose every precious second spent with Hannah. Rather, she cherishes their short time together, rather than fighting for a version of events that doesn't and will never exist. It might read as defeatist or selfish, but her heartbreaking choice is full of love for her daughter. If Forest and Walter are adamant about fixing their dilemma, Louise is leaning into the nurturing stereotype of mothers. She cares for her sick daughter rather than finding a cure to an incurable illness.

In Fringe, after Walter's son Peter dies from a genetic disease, he dedicates his time to watching his parallel universe doppelganger, Walternate, attempt to find a cure for his son. Circumstances lead Walter to travel through a portal to this other reality to save the boy who is not his son. He thought this was the right thing but his stubborn refusal to listen to others has far-reaching and long-term effects that far outweigh the risk he took. Nina Sharp (Blair Brown) and his lab assistant Carla Warren (Jenni Blong) try to stop him but their attempts are futile Nina loses an arm for her troubles. After Peter's mother sees the boy she thinks Walter has brought back to life, his difficult decision to return him to his world becomes impossible. His arrogance and lies he told thereafter will haunt him throughout the series, testing the bond between father and son further.

Unlike Walter, Forest doesn't believe there is a multi-verse with another version of his family running around; his theory is predicated on one world with one set of events occurring. The Devs team is working on a top-secret quantum computing project that will eventually allow them to see any moment in history. Imagine watching a high-def recorded version of events including the crucifixion of Jesus Christ and Marilyn Monroe sleeping with husband Arthur Miller. Guidelines are put in place to stop violations of privacy (such as the latter) or skipping ahead to events that have yet to happen; however, both rules are broken by various members of the team.

A machine with this capability will put to bed (or prove) countless conspiracy theories; the ripple effect of the secrets this system possesses is huge. In the wrong hands, this computer could be weaponized and its capacity to be used for an act of tyranny is great. Deciding who holds the power is not a debate in this company because Forest sits at the top of the chain. Nevertheless, his grief ensures his actions are clouded by emotion rather than rational an argument often leveled as a reason why a woman would make a bad leader. Grief is not gendered and the actions of each protagonist in Devs, Arrival, and Fringe suggest the fathers are far more likely to wield their scientific ability as a battle cry against the circle of life. Forest adds credence to the latter theory because his actions are influenced by the desire to be with his family again, no matter the cost.

An underlying debate throughout Devs is whether we have free will or not. Forest is firmly on the deterministic side of the argument, believing everything is predetermined. His family was always going to die in that car accident, he was always going to make the phone kill that distracted his wife. This takes away his responsibility and assuages his guilt while giving him hope he can be reunited with them in some form.

Rather than placing all bets on the afterlife, his computer exists as his personal time machine, sending him back to before his world changed. At first, it lets him watch his daughter as he remembered her blowing bubbles and playing, but it is much more than a sophisticated DVR player with every moment in history available to binge-watch.

For Forest to successfully bring his plan to fruition he needs to ensure his secret does not get out. Similarly, any theory that suggests he is incorrect is in opposition to his endgame and that person will also have to go which is why Lyndon (Cailee Spaeny) is fired. In Episode 5, Garland portrays multiple versions of the timeline; in some, the crash never happened, in others it did but it was less severe. If this was indeed the case, free will is still on the table, and therefore these deaths were preventable. Lily tossing the gun out of the lift reveals his hypothesis is incorrect, even if he ultimately gets his happy ending. The complexity of this powerful machine is not lost on the other workers who have conflicting theories and cannot risk what will happen if Forest maintains power over it.

"If Ex Machina is about a man who is trying to act as if he's God via technology and science, I thought there's a companion story, which is about people not trying to act as if they're God, but trying to create God," Alex Garland explained in a recent interview with Rolling Stone. Forest still thinks he can use his resources to bend the fabric of existence to his whim but he is reframing his role, not as creator but as a martyr to the machine he dies to enter. He also tells Lily in the finale that Devs is a cheeky play on the Latin word "Deus," which means deity or God. The gold production design is also an homage to a different form of creation, a location Garland calls a "strange, twilight, gold, womb-space." Family is the big driving force and linking back to biology further emphasizes this, even if Forest's resurrection of his deceased loved ones is far from a natural event in human evolution.

In this sampling of TV and film scientists using their abilities to alter the fabric of reality or leaning into their fate, the gender line is drawn dividing fathers who will literally destroy the matter of all things, and a mother who has accepted her future without defying quantum physics. However, in the recent season of Outlander, Claire Fraser (Caitriona Balfe) uses her skills as a physician and knowledge of life-saving treatments beyond simple tips and tricks. In "discovering" penicillin over a century before it was actually discovered, she is playing God and her hubris is comparable to Forest and Walter's. The impact her choices have on the future is minimal so far, but in Season 5 this looks set to change. This hasn't been done to save her daughter, but rather it shows how deeply conflicted she is as a doctor flung out of time and underscores her nurturing abilities that exist beyond her role as a mother.

Possessing the knowledge from a future timeline to save lives is one conundrum, but these narratives demonstrate it is far more complex when your own flesh and blood are in peril. As Devs and Fringe suggest, even time and space cannot stand in the way of this moral quandary when a figure is willing to play God. Not every expert will rip a hole in the world under the banner of being a parent (and that's OK).

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Playing God and parental drive in Devs, Fringe and Arrival - SYFY WIRE

Could this be Elon Musk’s biggest day yet? – Politico

With help from John Hendel and Mark Scott

Editors Note: Morning Tech is a free version of POLITICO Pro Technologys morning newsletter, which is delivered to our subscribers each morning at 6 a.m. The POLITICO Pro platform combines the news you need with tools you can use to take action on the days biggest stories. Act on the news with POLITICO Pro.

4:33 p.m.: NASAs launch today of Elon Musks SpaceX rocket could catapult the astronauts, the Silicon Valley tech entrepreneur, and the country to fame if it works, that is.

Shareholder talks, commence: Tech employees, civil rights activists and antitrust advocates are using Amazons and Facebooks annual shareholder meetings today to pressure the giants on issues ranging from the environmental impact of their businesses to their acquisitions of rival companies.

Schumers (rare) new tech bill: Senate Minority Leader Chuck Schumer plans to introduce bipartisan, bicameral legislation today to give the National Science Foundation an infusion of government cash and provide more money for research into AI, 5G and quantum computing.

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State of Small Business Report: Insights from 86,000 businesses and employees. A new report from Facebook and the Small Business Roundtable looks at how small and medium-sized businesses are dealing with the impact of COVID-19 and what they need on the road to recovery. Go further: Read the full report.

GREETINGS, TECHLINGS: ITS WEDNESDAY. WELCOME TO MORNING TECH! Im your host, Alexandra Levine.

Calling all China watchers: The trajectory of the U.S.-China relationship will determine whether this century is judged a bright or a dismal one. POLITICO's David Wertime is launching a new China newsletter this week that will be worth the read. Sign up here.

Meanwhile, whats happening in Washingtons tech circles? Drop me a line at [emailprotected] or @Ali_Lev. An event for our calendar? Send details to [emailprotected]. Anything else? Full team info below. And don't forget: Add @MorningTech and @PoliticoPro on Twitter.

ON WEDNESDAYS, WE LAUNCH ROCKETS The weeks main event is NASA's launch this afternoon of a 230-foot rocket, outfitted by SpaceX founder Elon Musk, from Cape Canaveral a historic event that both President Donald Trump and Vice President Mike Pence are expected to attend. If successful, Musk's SpaceX will go down in history as the first private company to carry humans into orbit. Tune in at 4:33 p.m.

NASAs fortunes are tied to Musks, who has made headlines recently for antics like vowing to sell all his houses, denouncing coronavirus lockdowns as fascist and reopening Teslas electric-car factory in defiance of California health authorities, POLITICOs Jacqueline Feldscher reports. SpaceXs role is a major departure from the traditional way NASA has sent its astronauts into space during the decades when it funded, owned and operated its own rockets and shuttles. And it comes as other private businesses aim to take humans to the final frontier, including Amazon CEO Jeff Bezos rocket company, Blue Origin, and Richard Bransons Virgin Galactic.

EYEBALLS WATCHING EMOJI: SILICON VALLEYS SHAREHOLDER MEETINGS Facebooks and Amazons annual shareholder meetings today are already being met with pushback.

For Facebook, as MT scooped Tuesday, that has taken the form of demands the company be broken up and stop profiting off the pandemic. Change the Terms coalition, a group of civil and digital rights activists that presses tech companies to crack down on hateful activity online, is meanwhile asking the company to ban white supremacists.

For Amazon, the pushback has taken the form of grass-roots groups like Amazon Employees for Climate Justice calling on the board to respond to their environmental concerns, including over warehouse and delivery fleet emissions that workers say are disproportionately hurting communities of color.

Amazons logistics network of trucks spew climate-change-causing greenhouse gases and toxic particles as they drive to and from warehouses that are concentrated near Black, Latinx, and Indigenous communities, the climate group wrote in a blog post mapping out the racial makeup of neighborhoods occupied by Amazon facilities. They claim the giants infrastructure overwhelmingly pollutes immigrant areas and communities of color particularly around San Bernardino, Calif., home to some two dozen warehouses and demand that Amazon enter a so-called Community Benefits Agreement that would require the company to provide permanent, living wage jobs and health benefits for local residents and zero emissions electric delivery trucks to promote clean air, among other asks.

The demands come as Amazon has seen a wave of fresh scrutiny in Washington during the pandemic and after the coronavirus spread to at least 50 warehouses and took the lives of at least eight Amazon warehouse workers.

OMG: If you were wondering how Amazon planned to respond to the discontent ahead of todays meeting, this might really make your jaw drop.

SAY HELLO TO A RARE SCHUMER TECH BILL A bipartisan, bicameral bill led by Schumer is expected to be introduced today. The Endless Frontiers Act, an uncommon piece of tech legislation from the New York Democrat, proposes a major, renewed federal investment in tech and science research through public-private partnerships and funding by the U.S. government investments intended to help in the race ahead with Covid-19 research in the short term, and to help brace for future threats of this magnitude in the long term.

The numbers: The bill would put $100 billion over five years toward the National Science Foundation (which currently has an annual budget of just $8.1 billion) and toward research and innovation across AI, 5G, quantum computing and other areas. It would also notably give the Commerce Department the ability to allocate billions more in funding to 10 to 15 tech hubs around the country, amplifying similar calls to create regional tech hubs by Facebook CEO Mark Zuckerberg and Rep. Ro Khanna (D-Calif.), who is among the co-sponsors of the bill.

Schumer first announced the bill in a recent USA Today op-ed with co-sponsors Khanna, Sen. Todd Young (R-Ind.) and Rep. Mike Gallagher (R-Wis.), highlighting the dangers of our decades-long underinvestment in the infrastructure that would help prevent, respond to and recover from an emergency of this scale namely, scientific and technological discovery. They also stress the need to keep up as China gains ground outpacing the United States by investing in technological innovations essential to Americans future safety and prosperity. The group is looking to package the proposal into the upcoming NDAA, according to a senior Senate aide familiar with the group's efforts.

THE NEXT 5G AIRWAVES FRONTIER? A mix of wireless industry trade groups and think tanks is nudging the FCC to issue an item ASAP to make the 12 GHz band airwaves more available for 5G use. The current technical rules for 12.2-12.7 GHz are obsolete and burdensome, preventing use of this spectrum for 5G wireless services, wrote the Competitive Carriers Association, Incompas, Open Technology Institute, Computer & Communications Industry Association and Public Knowledge.

One likely (and unmentioned) beneficiary: DISH Network, a satellite TV company affiliated with some of the signatories and currently on the hook for building out a 5G wireless network as part of the federal governments T-Mobile-Sprint merger approval. DISH holds much of this spectrum and, despite some industry pushback from players such as OneWeb, is adamant that the commission should act.

THE CASE AGAINST EUROPES DIGITAL SERVICES TAX The business-friendly Tax Foundation crunched the numbers to see whether digital taxes affecting major Silicon Valley companies operating in Europe are legal under international tax, trade and European law (mostly because current DSTs come from EU governments). The answer? Probably not.

In its analysis, the group looks at how current levies from the likes of France or Italy represent potential discrimination under existing trade law (like the World Trade Organization's General Agreement on Trade in Services), as well as under international tax rules if the digital taxes breach existing bilateral agreements between countries (say France and Ireland, where several of Silicon Valleys biggest companies, including Apple and Facebook, have a major presence outside the U.S.).

As for existing EU rules? Country's digital taxes may run afoul of the 27-country bloc's fundamental freedoms, though such a fight would likely wind its way to Europe's highest court and take years to conclude.

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Alison Watkins, a privacy litigator who has counseled clients on compliance with the California Consumer Privacy Act and Europes GDPR, has joined Perkins Coie as a partner in the firms litigation and privacy and security practices in the Palo Alto office. ... Jack Westerlund, a director of sales at Microsoft, is now director of sales at Microsoft partner RapidDeploy, an Austin-based software company working to reduce response time for first responders.

(More) gig grumblings: Uber and Lyft drivers in New York, where two rulings have deemed gig workers as employees eligible for the states unemployment insurance, are now suing over allegations that they have not been paid unemployment benefits in a timely manner, NYT reports.

Turning the other cheek: As Facebook did some soul-searching to study how the platform shapes user behavior, executives were warned that our algorithms exploit the human brains attraction to divisiveness, WSJ reports but ultimately, Mr. Zuckerberg and other senior executives largely shelved the basic research ... and weakened or blocked efforts to apply its conclusions to Facebook products.

Land of layoffs: Many leading Silicon Valley firms are feeling the layoff pains most outside the Bay Area, The Information reports.

Its good to be Google: In Sundar Pichais latest update on working from home, the Google CEO said that his employees, who will be largely working from home for the rest of this year, would receive a $1,000 allowance to go toward work equipment and office furniture.

ICYMI: "Twitter took a small stand against a pair of unsubstantiated President Donald Trump tweets about voting fraud on Tuesday by adding fact-check warnings," Cristiano reports, "but the move was unlikely to stem the onslaught of criticism the company is facing about tweets it hasn't acted on, including those peddling conspiracy theories about a deceased congressional staffer."

Podcast OTD: The latest episode of FCC Commissioner Jessica Rosenworcels Broadband Conversations podcast features Julie Samuels, executive director of Tech:NYC. Listen through Google Podcasts, GooglePlay, iTunes or the FCC.

Opinion: Samuels spells out in the Daily News how tech jobs and investment will be a key component of New Yorks post-pandemic economic recovery across all five boroughs.

Tips, comments, suggestions? Send them along via email to our team: Bob King ([emailprotected], @bkingdc), Heidi Vogt ([emailprotected], @HeidiVogt), Nancy Scola ([emailprotected], @nancyscola), Steven Overly ([emailprotected], @stevenoverly), John Hendel ([emailprotected], @JohnHendel), Cristiano Lima ([emailprotected], @viaCristiano), Alexandra S. Levine ([emailprotected], @Ali_Lev), and Leah Nylen ([emailprotected], @leah_nylen).

TTYL and go wash your hands.

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Could this be Elon Musk's biggest day yet? - Politico

Quantum computing analytics: Put this on your IT roadmap – TechRepublic

Quantum is the next step toward the future of analytics and computing. Is your organization ready for it?

Quantum computing can solve challenges that modern computers can't--or it might take them a billion years to do so. It can crack any encryption and make your data completely safe. Google reports that it has seen a quantum computer that performed at least 100 million times faster than any classical computer in its lab.

Quantum blows away the processing of data and algorithms on conventional computers because of its ability to operate on electrical circuits that can be in more than one state at once. A quantum computer operates on Qubits (quantum bits) instead of on the standard bits that are used in conventional computing.

SEE: Managing AI and ML in the enterprise 2020: Tech leaders increase project development and implementation (TechRepublic Premium)

Quantum results can quickly make an impact on life science and pharmaceutical companies, for financial institutions evaluating portfolio risks, and for other organizations that want to expedite time-to-results for processing that on conventional computing platforms would take days to complete.

Few corporate CEOs are comfortable trying to explain to their boards what quantum computing is and why it is important to invest in it.

"There are three major areas where we see immediate corporate engagement with quantum computing," said Christopher Savoie, CEO and co-founder of Zapata Quantum Computing Software Company, a quantum computing solutions provider backed by Honeywell. "These areas are machine learning, optimization problems, and molecular simulation."

Savoie said quantum computing can bring better results in machine learning than conventional computing because of its speed. This rapid processing of data enables a machine learning application to consume large amounts of multi-dimensional data that can generate more sophisticated models of a particular problem or phenomenon under study.

SEE: Forget quantum supremacy: This quantum-computing milestone could be just as important (TechRepublic)

Quantum computing is also well suited for solving problems in optimization. "The mathematics of optimization in supply and distribution chains is highly complex," Savoie said. "You can optimize five nodes of a supply chain with conventional computing, but what about 15 nodes with over 85 million different routes? Add to this the optimization of work processes and people, and you have a very complex problem that can be overwhelming for a conventional computing approach."

A third application area is molecular simulation in chemistry and pharmaceuticals, which can be quite complex.

In each of these cases, models of circumstances, events, and problems can be rapidly developed and evaluated from a variety of dimensions that collate data from many diverse sources into a model.

SEE:Inside UPS: The logistics company's never-ending digital transformation (free PDF)(TechRepublic)

"The current COVID-19 crisis is a prime example," Savoie said. "Bill Gates knew in 2015 that handling such a pandemic would present enormous challengesbut until recently, we didn't have the models to understand the complexities of those challenges."

For those engaging in quantum computing and analytics today, the relative newness of the technology presents its own share of glitches. This makes it important to have quantum computing experts on board. For this reason, most early adopter companies elect to go to the cloud for their quantum computing, partnering with a vendor that has the specialized expertise needed to run and maintain quantum analytics.

SEE: Rural America is in the midst of a mental health crisis. Tech could help some patients see a way forward. (cover story PDF) (TechRepublic)

"These companies typically use a Kubernetes cluster and management stack on premises," Savoie said. "They code a quantum circuit that contains information on how operations are to be performed on quantum qubits. From there, the circuit and the prepared data are sent to the cloud, which performs the quantum operations on the data. The data is processed in the cloud and sent back to the on-prem stack, and the process repeats itself until processing is complete."

Savoie estimated that broad adoption of quantum computing for analytics will occur within a three- to five-year timeframe, with early innovators in sectors like oil and gas, and chemistry, that already understand the value of the technology and are adopting sooner.

"Whether or not you adopt quantum analytics now, you should minimally have it on your IT roadmap," Savoie said. "Quantum computing is a bit like the COVID-19 crisis. At first, there were only two deaths; then two weeks later, there were ten thousand. Quantum computing and analytics is a highly disruptive technology that can exponentially advance some companies over others."

Learn the latest news and best practices about data science, big data analytics, and artificial intelligence. Delivered Mondays

Image: sakkmesterke, Getty Images/iStockphoto

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Quantum computing analytics: Put this on your IT roadmap - TechRepublic

Quantum Computing Market Research Report 2020 By Size, Share, Trends, Analysis and Forecast to 2026 – Cole of Duty

1qb Information Technologies

Quantum Computing Market Competitive Analysis:

In addition, the projections offered in this report were derived using proven research assumptions and methods. In this way, the Quantum Computing research study offers a collection of information and analysis for every facet of the Quantum Computing market such as technology, regional markets, applications and types. The Quantum Computing market report also offers some market presentations and illustrations that include pie charts, diagrams and charts that show the percentage of different strategies implemented by service providers in the Quantum Computing market. In addition, the report was created using complete surveys, primary research interviews, observations and secondary research.

In addition, the Quantum Computing market report introduced the market through various factors such as classifications, definitions, market overview, product specifications, cost structures, manufacturing processes, raw materials and applications. This report also provides key data on SWOT analysis, return data for investments and feasibility analysis for investments. The Quantum Computing market study also highlights the extremely lucrative market opportunities that are influencing the growth of the global market. In addition, the study offers a complete analysis of market size, segmentation and market share. In addition, the Quantum Computing report contains market dynamics such as market restrictions, growth drivers, opportunities, service providers, stakeholders, investors, important market participants, profile assessment and challenges of the global market.

Quantum Computing Market Segments:

The report also underscores their strategics planning including mergers, acquisitions, ventures, partnerships, product launches, and brand developments. Additionally, the report renders the exhaustive analysis of crucial market segments, which includes Quantum Computing types, applications, and regions. The segmentation sections cover analytical and forecast details of each segment based on their profitability, global demand, current revue, and development prospects. The report further scrutinizes diverse regions including North America, Asia Pacific, Europe, Middle East, and Africa, and South America. The report eventually helps clients in driving their Quantum Computing business wisely and building superior strategies for their Quantum Computing businesses.

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Table of Content

1 Introduction of Quantum Computing Market

1.1 Overview of the Market1.2 Scope of Report1.3 Assumptions

2 Executive Summary

3 Research Methodology

3.1 Data Mining3.2 Validation3.3 Primary Interviews3.4 List of Data Sources

4 Quantum Computing Market Outlook

4.1 Overview4.2 Market Dynamics4.2.1 Drivers4.2.2 Restraints4.2.3 Opportunities4.3 Porters Five Force Model4.4 Value Chain Analysis

5 Quantum Computing Market, By Deployment Model

5.1 Overview

6 Quantum Computing Market, By Solution

6.1 Overview

7 Quantum Computing Market, By Vertical

7.1 Overview

8 Quantum Computing Market, By Geography

8.1 Overview8.2 North America8.2.1 U.S.8.2.2 Canada8.2.3 Mexico8.3 Europe8.3.1 Germany8.3.2 U.K.8.3.3 France8.3.4 Rest of Europe8.4 Asia Pacific8.4.1 China8.4.2 Japan8.4.3 India8.4.4 Rest of Asia Pacific8.5 Rest of the World8.5.1 Latin America8.5.2 Middle East

9 Quantum Computing Market Competitive Landscape

9.1 Overview9.2 Company Market Ranking9.3 Key Development Strategies

10 Company Profiles

10.1.1 Overview10.1.2 Financial Performance10.1.3 Product Outlook10.1.4 Key Developments

11 Appendix

11.1 Related Research

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Quantum Computing Market Research Report 2020 By Size, Share, Trends, Analysis and Forecast to 2026 - Cole of Duty

Could quantum machine learning hold the key to treating COVID-19? – Tech Wire Asia

Sundar Pichai, CEO of Alphabet with one of Googles quantum computers. Source: AFP PHOTO / GOOGLE/HANDOUT

Scientific researchers are hard at work around the planet, feverishly crunching data using the worlds most powerful supercomputers in the hopes of a speedier breakthrough in finding a vaccine for the novel coronavirus.

Researchers at Penn State University think that they have hit upon a solution that could greatly accelerate the process of discovering a COVID-19 treatment, employing an innovative hybrid branch of research known as quantum machine learning.

When it comes to a computer science-driven approach to identifying a cure, most methodologies harness machine learning to screen different compounds one at a time to see if they might bond with the virus main protease, or protein.

This process is arduous and time-consuming, despite the fact that the most powerful computers were actually condensing years (maybe decades) of drug testing into less than two years time. Discovering any new drug that can cure a disease is like finding a needle in a haystack, said lead researcher Swaroop Ghosh, the Joseph R. and Janice M. Monkowski Career Development Assistant Professor of Electrical Engineering and Computer Science and Engineering at Penn State.

It is also incredibly expensive. Ghosh says the current pipeline for discovering new drugs can take between five and ten years from the concept stage to being released to the market, and could cost billions in the process.

High-performance computing such as supercomputers and artificial intelligence (AI) canhelp accelerate this process by screeningbillions of chemical compounds quicklyto findrelevant drugcandidates, he elaborated.

This approach works when enough chemical compounds are available in the pipeline, but unfortunately this is not true for COVID-19. This project will explorequantum machine learning to unlock new capabilities in drug discovery by generating complex compounds quickly.

Quantum machine learning is an emerging field that combines elements of machine learning with quantum physics. Ghosh and his doctoral students had in the past developed a toolset for solving a specific set of problems known as combinatorial optimization problems, using quantum computing.

Drug discovery computation aligns with combinatorial optimization problems, allowing the researchers to tap the same toolset in the hopes of speeding up the process of discovering a cure, in a more cost-effective fashion.

Artificial intelligence for drug discovery is a very new area, Ghosh said. The biggest challenge is finding an unknown solution to the problem by using technologies that are still evolving that is, quantum computing and quantum machine learning. We are excited about the prospects of quantum computing in addressing a current critical issue and contributing our bit in resolving this grave challenge.

Joe Devanesan | @thecrystalcrown

Joe's interest in tech began when, as a child, he first saw footage of the Apollo space missions. He still holds out hope to either see the first man on the moon, or Jetsons-style flying cars in his lifetime.

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Could quantum machine learning hold the key to treating COVID-19? - Tech Wire Asia

Video: The Future of Quantum Computing with IBM – insideHPC

Dario Gil from IBM Research

In this video, Dario Gil from IBM shares results from the IBM Quantum Challenge and describes how you can access and program quantum computers on the IBM Cloud today.

From May 4-8, we invited people from around the world to participate in the IBM Quantum Challengeon the IBM Cloud. We devised the Challenge as a global event to celebrateour fourth anniversary of having a real quantum computer on the cloud. Over those four days 1,745people from45countries came together to solve four problems ranging from introductory topics in quantum computing, to understanding how to mitigate noise in a real system, to learning about historic work inquantum cryptography, to seeing how close they could come to the best optimization result for a quantum circuit.

Those working in the Challenge joined all those who regularly make use of the 18quantum computing systems that IBM has on the cloud, includingthe 10 open systemsand the advanced machines available within theIBM Q Network. During the 96 hours of the Challenge, the total use of the 18 IBM Quantum systems on the IBM Cloud exceeded 1 billion circuits a day. Together, we made history every day the cloud users of the IBM Quantum systems made and then extended what can absolutely be called a world record in computing.

Every day we extend the science of quantum computing and advance engineering to build more powerful devices and systems. Weve put new two new systems on the cloud in the last month, and so our fleet of quantum systems on the cloud is getting bigger and better. Well be extending this cloud infrastructure later this year by installing quantum systems inGermanyand inJapan. Weve also gone more and more digital with our users with videos, online education, social media, Slack community discussions, and, of course, the Challenge.

Dr. Dario Gil is the Director of IBM Research, one of the worlds largest and most influential corporate research labs. IBM Research is a global organization with over 3,000 researchers at 12 laboratories on six continents advancing the future of computing. Dr. Gil leads innovation efforts at IBM, directing research strategies in Quantum, AI, Hybrid Cloud, Security, Industry Solutions, and Semiconductors and Systems. Dr. Gil is the 12th Director in its 74-year history. Prior to his current appointment, Dr. Gil served as Chief Operating Officer of IBM Research and the Vice President of AI and Quantum Computing, areas in which he continues to have broad responsibilities across IBM. Under his leadership, IBM was the first company in the world to build programmable quantum computers and make them universally available through the cloud. An advocate of collaborative research models, he co-chairs the MIT-IBM Watson AI Lab, a pioneering industrial-academic laboratory with a portfolio of more than 50 projects focused on advancing fundamental AI research to the broad benefit of industry and society.

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Video: The Future of Quantum Computing with IBM - insideHPC

The pandemic and national security go hand-in-hand for Nebraska’s Ben Sasse – KETV Omaha

What Ben Sasse sees out of China from his seat on the Senate Intelligence Committee scares him, and he's convinced Americans aren't taking the threat seriously."China is the biggest long-term threat," the Nebraska Republican said during a KETV NewsWatch 7 interview from Capitol Hill. "There isn't enough urgency or agreement about that problem."Over the past few years, the Chinese government has flexed its growing military and economic might with countries across the Pacific Ocean. It's made substantial investments in 5G technology, and one of its biggest tech manufacturers, Huawei, supplies those networks around the globe.Hauwei has drawn scrutiny from U.S. national security experts for its ties to the Chinese government.Sasse explained 5G technology allows more advanced uses for artificial intelligence, and ultimately quantum computing.Once deployed, effective quantum algorithms can enable machine learning. In the hands of an adversary, the development could allow computers to break codes with little effort, revealing U.S. intelligence assets."The Chinese communist party cannot beat us in the long-term tech race, and right now they are closing on us really fast," Sasse said.In the video above, watch Sen. Ben Sasse, R-Neb., question President Trump's nominee for Director of National Intelligence on Chinese government initiatives during a Senate hearing May 5.The national security implications also play out in pandemics, Sasse said, citing years of drills at the Pentagon."Most of those exercises said a pandemic would be the biggest problem," he said.The pandemic finally arrived in the form of COVID-19, and the U.S. government was left scrambling to contain it.Sasse says it's time to get serious about investing in health preparedness. The self-described "small government guy" wants more serious federal investment in vaccine accelerator programs and a "Shark Tank" for therapeutics."We need to have more red team, blue team, green team exercises inside the public health space, the vaccine development space," Sasse said.While public health experts try to contain the virus, it has already wrecked havoc across the world's biggest economy.As coronavirus closures crippled the U.S., Congress spent more than $3 trillion to rescue American businesses and the American people. More than 33 million Americans lost their jobs since the pandemic began."The average small business has about 16 days of cash on hand, and this thing has been going on for a couple of months," Sasse said. "So there's a lot more that needs to be done."The American people would seem to agree.Three quarters of Americans in swing states want sustained, direct payments during the coronavirus pandemic, according to a poll published Wednesday by CNBC. But before he signs off on more relief, Sasse wants to see what's working and what's not."Congress and the executive branch have spent way too much of the next generation's money without knowing whether it's going to be effective," he said. "So we need to start evaluating what we've already started to do before people start advocating to spread more money out of helicopters."Sasse also wants to see COVID-19 legal shields for health care workers and small businesses.He told KETV NewsWatch 7 he's open to spending money on data-driven job re-training programs that can get Nebraskans back to work.While those efforts are short-term efforts to rescue the economy, Sasse said the U.S. can't afford to forget the long-term challenges.Investing in robust efforts to shore up global health preparedness are critical, he said. Especially when he considers the China threat."They want to dominate the globe from a national security standpoint," said Sasse. "And viruses are one of many tools they might consider using."

What Ben Sasse sees out of China from his seat on the Senate Intelligence Committee scares him, and he's convinced Americans aren't taking the threat seriously.

"China is the biggest long-term threat," the Nebraska Republican said during a KETV NewsWatch 7 interview from Capitol Hill. "There isn't enough urgency or agreement about that problem."

Over the past few years, the Chinese government has flexed its growing military and economic might with countries across the Pacific Ocean. It's made substantial investments in 5G technology, and one of its biggest tech manufacturers, Huawei, supplies those networks around the globe.

Hauwei has drawn scrutiny from U.S. national security experts for its ties to the Chinese government.

Sasse explained 5G technology allows more advanced uses for artificial intelligence, and ultimately quantum computing.

Once deployed, effective quantum algorithms can enable machine learning. In the hands of an adversary, the development could allow computers to break codes with little effort, revealing U.S. intelligence assets.

"The Chinese communist party cannot beat us in the long-term tech race, and right now they are closing on us really fast," Sasse said.

In the video above, watch Sen. Ben Sasse, R-Neb., question President Trump's nominee for Director of National Intelligence on Chinese government initiatives during a Senate hearing May 5.

The national security implications also play out in pandemics, Sasse said, citing years of drills at the Pentagon.

"Most of those exercises said a pandemic would be the biggest problem," he said.

The pandemic finally arrived in the form of COVID-19, and the U.S. government was left scrambling to contain it.

Sasse says it's time to get serious about investing in health preparedness. The self-described "small government guy" wants more serious federal investment in vaccine accelerator programs and a "Shark Tank" for therapeutics.

"We need to have more red team, blue team, green team exercises inside the public health space, the vaccine development space," Sasse said.

While public health experts try to contain the virus, it has already wrecked havoc across the world's biggest economy.

As coronavirus closures crippled the U.S., Congress spent more than $3 trillion to rescue American businesses and the American people. More than 33 million Americans lost their jobs since the pandemic began.

"The average small business has about 16 days of cash on hand, and this thing has been going on for a couple of months," Sasse said. "So there's a lot more that needs to be done."

The American people would seem to agree.

Three quarters of Americans in swing states want sustained, direct payments during the coronavirus pandemic, according to a poll published Wednesday by CNBC.

But before he signs off on more relief, Sasse wants to see what's working and what's not.

"Congress and the executive branch have spent way too much of the next generation's money without knowing whether it's going to be effective," he said. "So we need to start evaluating what we've already started to do before people start advocating to spread more money out of helicopters."

Sasse also wants to see COVID-19 legal shields for health care workers and small businesses.

He told KETV NewsWatch 7 he's open to spending money on data-driven job re-training programs that can get Nebraskans back to work.

While those efforts are short-term efforts to rescue the economy, Sasse said the U.S. can't afford to forget the long-term challenges.

Investing in robust efforts to shore up global health preparedness are critical, he said. Especially when he considers the China threat.

"They want to dominate the globe from a national security standpoint," said Sasse. "And viruses are one of many tools they might consider using."

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The pandemic and national security go hand-in-hand for Nebraska's Ben Sasse - KETV Omaha

Cover Corona Outbreak: Quantum Computing Market 2020 Demand, Leading Players, Emerging Technologies, Applications, Development History Segmentation by…

The Latest Research Report on Quantum Computing Market size | Industry Segment by Applications, by Type, Regional Outlook, Market Demand, Latest Trends, Quantum Computing Industry Share & Revenue by Manufacturers, Company Profiles, Growth Forecasts 2025. Analyzes current market size and upcoming 5 years growth of this industry.

According to the report, the Quantum Computing market is projected to register high demand during the forecast period with increasing demand from major end-use industries such as increasing demand due to growing inclination towards the use of renewable energy during the forecast period.

Click here to get sample of the premium report: https://industrystatsreport.com/Request/Sample?ResearchPostId=309&RequestType=Sample

A combined cycle power plant is a heat engine assembly that works in conjunction from the same heat source, converting it into mechanical energy that generally drives electrical generators in turn. The concept is that the operating fluid temperature in the system is still high enough after completing its cycle that a second subsequent heat engine extracts energy from the heat generated by the first engine.

With an emphasis on both organic and inorganic growth strategies, there have been several primary developments done by major companies include

Hewlett PackardAlibaba Quantum Computing LaboratoryBooz Allen Hamilton Inc.QxBranchSPARROW QUANTUM A/SSeeQCQuantum Circuits, Inc.Anyon Systems IncRigetti ComputingToshiba Research Europe Ltd. Others

Key Factors Impacting Market Growth:

o Increasing demand due to growing inclination towards the use of renewable energy.

o Strict government regulations directing various industries towards reducing their carbon footprint

o New developments in the clean energy sector, prompting companies to expand the horizon for CCGT market globally

Market Segmentation:

Reports include the following segmentation: By VerticalAerospace & DefenseBFSIEnergy & PowerHealthcareInformation Technology & TelecommunicationTransportationOthersBy TechnologySuperconducting loops technologyTrapped ion technologyTopological qubits technologyBy OfferingSystemsConsulting SolutionsBy ComponentHardwareSoftwareServicesBy IndustryDefenseBanking & FinanceEnergy & PowerChemicalsHealthcare & PharmaceuticalsBy ApplicationOptimizationMachine LearningSimulationOthersBy RegionNorth Americao U.S.o Canadao MexicoEuropeo UKo Franceo Germanyo Russiao Rest of EuropeAsia-Pacifico Chinao South Koreao Indiao Japano Rest of Asia-PacificLAMEAo Latin Americao Middle Easto Africa

Request Customization of the premium report: https://industrystatsreport.com/Request/Sample?ResearchPostId=309&RequestType=Methodology

Customization:

We provide customization of the study to meet specific requirements:

o By Segment

o By Sub-segment

o By Region/Country

Regional segmentation and analysis to understand growth patterns:

The market has been segmented in major regions to understand the global development and demand patterns of this market.

Detailed information for markets like North America, Western Europe, Eastern Europe, Asia Pacific, Middle East, and Rest of the World is provided by the global outlook for the Quantum Computing market. During the forecast period, North America and Western Europe are projected as main regions for the shortwave infrared sector. As one of the developed regions, the energy & power sector is important for the operations of different industries in this area.

This is one of the key factors regulating Quantum Computing market growth in those regions. Some of the major countries covered in this region include the USA, Germany, United Kingdom, France, Italy, Canada, etc.

During the forecast period, the Asia Pacific is expected to be one of the fastest-growing regions for the Quantum Computing market. Some of the fastest-growing economies and increasing energy & power demand to cater for high population & industries are expected to drive demand in this area. During the forecast period, China and India are expected to record large demand. During the forecast period, the Middle East which includes the UAE, Saudi Arabia, Iran, Qatar, and others promises high market potential. In terms of market demand during the forecast period, the rest of the world including South America and Africa are developing regions.

This report provides:

1) An overview of the global market for Quantum Computing market and related technologies.

2) Analysis of global market trends, yearly estimates and annual growth rate projections for compounds (CAGRs).

3) Identification of new market opportunities and targeted consumer marketing strategies for global Quantum Computing market.

4) Analysis of R&D and demand for new technologies and new applications

5) Extensive company profiles of key players in the industry.

The researchers have studied the market in-depth and have developed important segments such as product type, application, and region. Each and every segment and its sub-segments are analyzed based on their market share, growth prospects, and CAGR. Each market segment offers in-depth, both qualitative and quantitative information on market outlook.

Full Access to the Report: https://industrystatsreport.com/ICT-and-Media/Quantum-Computing-Market/Summary

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Cover Corona Outbreak: Quantum Computing Market 2020 Demand, Leading Players, Emerging Technologies, Applications, Development History Segmentation by...