SINGAPORE Against a backdrop of rising tensions between the United States and China, Finnish telecom equipment maker Nokiasays it's focusing on areas it can control such as its technology and customers, a senior executive said Wednesday.

"From Nokia's perspective, we have to focus on the areas that we can control. What we can control are our own technology, our own go-to market and making sure that the service providers that we are supporting have continuous services and supply of the equipment and technology into their customer base," Jae Won, head of Asia Pacific and Japan at Nokia, said on CNBC's "Squawk Box Asia."

"The various geopolitical issues does provide some complications but as far as we are concerned, we focus on the technology that we can develop and we focus on the customers and the business opportunities that 5G and Industry 4.0 will provide for the future," he added.

The U.S. and China are fighting to dominate in new technologies, including artificial intelligence, quantum computing and 5G, whichrefers to the next generation of high-speed mobile internet that provides faster data speeds and more bandwidth. In fact, China has stepped up efforts to reduce foreign-reliance on high-end chips by investing heavily into its domestic semiconductor market.

Some experts have said in recent years that the U.S.-China rivalry could lead to the emergence of two internets.

Often referred to as a "splinternet," it is the possibility that the internet might be fragmented and governed by separate regulations such as those in the U.S. and in China and run by different services. If such a split were to occur, it would force technology companies to rethink their operational strategies in various markets, depending on which side each market is aligned with.

Nokia is one of the largest telecom equipment suppliers in the world, behind market leader Huawei. As countries rush to develop and roll out their 5G infrastructure, Nokia, alongside Sweden's Ericsson and South Korea's tech titan Samsung, is set to be one of the immediate beneficiaries in a U.S.-led campaign against China's Huawei.

The Chinese tech company is at the heart of the U.S.-China tech rivalry.

Not only is Huawei banned from participating in the 5G infrastructure in the U.S., its access to certain high-end technologies made in the U.S.or tech made using U.S. equipment, has been restricted. Washington has also urged allies to cut Huawei off from their own 5G infrastructure. Huawei is banned in Japan, Australiahas barred it from selling 5G equipment and most recently, the U.K.announced it will ban the company from its 5G networks.

Won said Nokia is supplying 5G equipment to telcos in Asia-Pacific, including South Korea, Japan, Australia, New Zealand and most recently in Singapore. "The momentum in this region for 5G is very strong and we expect this momentum will continue into 2021 and beyond," he said.

But the Finnish firm this month suffered a setback: Reuters reported that Nokia lost out to Samsung on a $6.64 billion contract to supply 5G equipment to Verizon in the U.S.

Continued here:
Nokia says it's focused on tech and customers, but political fights complicate things - CNBC

IQM Quantum Computers (IQM) the European leader in building superconducting quantum computers, today announced that it has raised 39 M in Series A funding, bringing the total amount of funding raised to date to 71 M.

This ranks among the highest fundraising rounds by a European deep-tech startup within a year. MIG Fonds has led this round, with participation from all existing investors including Tesi, OpenOcean, Maki.vc, Vito Ventures, Matadero QED. New investors Vsquared, Salvia GmbH, Santo Venture Capital GmbH, and Tencent, have also joined this round.

"IQM has a strong track record of research and in achieving high growth. They continue to attract the best global talent across functions and have exceeded their hardware and software milestones. We are thrilled to lead this round and continue to support IQM as the company accelerates its next phase of business and hardware growth," said Axel Thierauf, Partner at MIG Fonds, and Chairman of the Board of IQM.

Since 2019, IQM has been among the fastest-growing companies in the quantum computing sector and already has one of the world's largest quantum hardware engineering teams. This funding will be used to accelerate IQMs hardware development and to co-design application-specific quantum computers. A significant part of the funding will also be used to attract and retain the best global talent in quantum computing, and to establish sales and business development teams.

"Today's announcement is part of our ongoing Series-A funding round. I am extremely pleased with the confidence our investors have shown in our vision, team, product, and the ability to execute and commercialize quantum computers. This investment also shows their continued belief in building the future of quantum technologies. This is a significant recognition for our fantastic team that has achieved all our key milestones from the previous round. We're just getting started," said Jan Goetz, CEO of IQM.

"It is impressive to be a part of the IQM journey and see the progress of their technology. We're proud to see another startup from Finland making a global impact. IQM will have a lasting impact on the future of computing, and consequently will help solve some of the global challenges related to healthcare, climate change and development of sustainable materials among many others," said Juha Lehtola, Head of Direct VC Investments at Tesi (Finnish Industry Investment).

IQM delivers on-premises quantum computers for research laboratories and supercomputing centers. For industrial customers, IQM follows an innovative co-design strategy to deliver quantum advantage based on application-specific processors, using novel chip architectures and ultrafast quantum operations. IQM provides the full hardware stack for a quantum computer, integrating different technologies, and invites collaborations with quantum software companies.

"We want to invest in deep technology startups that shape the future and advance society. IQM is the perfect example of a company that is on top of its game; their work on quantum computing will make an impact for generations to come," said Herbert Mangesius, Founding Partner at Vsquared and Vito Ventures.

While quantum computing is still under development, governments and private organizations across the world are investing today to retain their competitive edge and become quantum-ready for the future.

The next decade will be the decade of quantum technology, and we will see major breakthroughs with real-world applications using quantum computers in healthcare, logistics, finance, chemistry and beyond.

About IQM Quantum Computers:

IQM is the European leader in superconducting quantum computers, headquartered in Espoo, Finland. Since its inception in 2018, IQM has grown to 70+ (TBC) employees and has also established a subsidiary in Munich, Germany, to lead the co-design approach. IQM delivers on-premises quantum computers for research laboratories and supercomputing centers and provides complete access to its hardware. For industrial customers, IQM delivers quantum advantage through a unique application-specific co-design approach. IQM has also received a 3.3 M grant from Business Finland and has been awarded a 15 M equity investment from the EIC Accelerator program.

For more information, visit http://www.meetiqm.com

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Europe Is on Its Way To Quantum Leadership, IQM Raises 39 M in Series A Funding - Embedded Computing Design

Quantum computing is emerging as a subfield of quantum information science. This technology has already started attracting interest from researchers and technology companies with almost feverish excitement and activity. Companies have even begun racing to achieve quantum supremacy. In 2019, Google officially announced that it achieved quantum supremacy. Quantum computing promises great potential in diverse areas, including medical research, financial modeling, traffic optimization, artificial intelligence, weather forecasting, and more.

Quantum computing can be a ground-breaking technology for cybersecurity, enabling companies to improve their cybersecurity strategies. It will help detect and deflect quantum computing-based attacks before they cause harm to groups and individuals.

Quantum cybersecurity is the field of study of all aspects affecting the security and privacy of communications and computations owing to the development of quantum technologies. Quantum computers are likely to solve problems that cannot be done by traditional computers, such as solving the algorithms behind encryption keys that safeguard data and the internets infrastructure. Moreover, as most of todays encryption relies heavily on mathematical formulas that would take impractically much time to decode using todays computers, a quantum computer can easily factor those formulas and break the code.

Over 20 years ago, Peter Shor, an MIT professor of applied mathematics, developed a quantum algorithm that could easily factor large numbers far more quickly than a conventional computer. Since then, scientists have been working on developing quantum computers that can break asymmetric encryption.

The development of large quantum computers could have calamitous consequences for cybersecurity. In this context, thinking quantum cybersecurity solutions will be an advantageous edge. Quantum cybersecurity can pave more robust and compelling opportunities for the security of critical and personal data. It will particularly be useful in quantum machine learning and quantum random number generation, as noted byIBM.

The pace of quantum research undoubtedly continues to accelerate in the years ahead. But it will also pose challenges and vulnerabilities to mission-critical information needed to retain its secrecy. Adapting to advanced cryptography to address these threats could be an obvious solution. The quantum cryptography approach is based on creating algorithms that are hard to break even for quantum computers. This approach can also work with conventional computers.

Another security approach against quantum computing attacks is lattice-based cryptography. Conventional cryptographic algorithms can be replaced with lattice-based algorithms that are designed with proven security. These new algorithms can conceal data inside complex math problems called lattices. Google already has begun testing post-quantum cryptography methods that integrate lattice-based algorithms. According to IBM researcher Cecilia Boschini, lattice-based cryptography will prevent future quantum computing-based attacks and form a basis for Fully Homomorphic Encryption (FHE) that makes it possible for users to perform calculations on a file without seeing the data or revealing it to hackers. The NSA, NIST, and other governmental agencies are also starting to invest in this developing method.

Moreover, according to aForbes article, quantum computing can transform cybersecurity in four areas: quantum random number generation is fundamental to cryptography; quantum-secure communications, specifically quantum key distribution (QKD); post-quantum cryptography, and quantum machine learning.

Visit link:
The Promise and Impact of Quantum Computing on Cybersecurity - Analytics Insight

Artificial Intelligence, 5G, rare earth products, ground station tracking facilities to support Gaganyaan are among the areas covered, says Barry OFarell

Australian High Commissioner to India Barry OFarrell took charge a month before the COVID-19 pandemic struck in India, yet his time here has seen a steady uptick in the momentum of bilateral cooperation including a Prime Ministerial summit in June and, more recently, Australias inclusion in the Malabar naval exercises. He speaks toNarayan Lakshman about a range of cooperative initiatives on the anvil.

It will demonstrate the ability of our navy to work through exercises, warfare serials and like with the navies of India, Australia, the U.S. and Japan. That is important because, were there to be a regional crisis, like a natural or humanitarian disaster, the ability to work smoothly with partners is critical. It builds particularly on the maritime agreement that was one of the agreements underneath the CSP, but also to the mutual logistic support arrangement, which is designed to improve the collaboration between our armed forces. This reflects the commitment that Quad partners have to a free, open, and prosperous Indo Pacific. It demonstrates the commitment that Australia and India have to what Prime Minister Modi described at the June summit as a sacred duty to provide the neighbourhood with the environment where people could prosper, where there could be stability upon which to build your lives, and where you could live freely. It reiterates that.

It also comes off the back of ongoing interactions between our armed forces. To some extent, Malabar was a fixation that we are delighted to be part of, but it was a fixation because it ignored the fact that the AusIndex exercise last year was the largest naval engagement Australia had ever been a part of, and most complex involving submarine serials and P-8 Poseidon maritime patrols across the Bay of Bengal. Equally, the recent passage exercise again demonstrated our ability to work together, including practising warfare serials on water. All these things increase the level of cooperation, increase the significance of the relationship, but practically ensure that should they be called upon, our navies could work more closely together, effectively, in support of a peaceful, stable and prosperous Indo Pacific.

Also read: India-Australia friendship based on trust, respect: Scott Morrison

Certainly, the COVID-19 pandemic has damaged economies. It has accelerated geostrategic competition, and it has obviously disrupted our way of life. It has highlighted the importance, to countries like India and Australia, of ensuring a safe, secure and prosperous future for our citizens. Thats why, as part of the CSP, there were agreements in relation to critical technologies such as Artificial Intelligence, quantum computing and 5G because we recognise the opportunities they present to people, to businesses, to the broader economy, and the fact that they should be guarded by international standards to ensure they do not present risks, to security or prosperity. The Australia-India framework Arrangements on Cyber and Cyber Enabled Critical Technology cooperation, abbreviated as the Arrangement, will enhance bilateral cooperation. Under the agreement, we are going to cooperate together to promote and preserve that open, free, safe and secure Internet by working around those international norms and rules that we talk about. It sets out practical ways to promote and enhance digital trade, harness critical technologies, and address cyber security challenges. It provides a programme of 66 crore over four years for an Australia-India cyber and critical technology partnership to support research by institutions in both Australia and between institutions in Australia and India. We also signed an MoU on critical minerals between both countries because they are the essential inputs into these critical and emerging technologies, which cover areas like high tech electronics, telecommunications, clean energy, transport and defence. Critical minerals are essential if India wants to achieve its energy mission goal in the battery industry, storage industry and electric vehicle industry.

Editorial | A new dimension: On India-U.S.-Australia-Japan Quadrilateral

If you want to build batteries or electric vehicles, lithium, amongst other items, is required. We know that your northern neighbour is your most significant supplier of these critical minerals. We know that India is seeking to become more self-reliant. We know that imports from China are reducing. Australia potentially sees an opportunity for us to provide elements into Indias efforts to improve its manufacturing, defence and electric vehicle and energy mission projects. We have Indian companies who are currently owning or significant investors in Australian critical minerals and rare earths companies. We have just released a new prospectus on critical minerals and rare earths which lists over 200 projects capable of attracting more investment into India.

I know theres concern in some parts of the community that self-reliance means protectionism. Well, we believe, firstly, that that is not the case, and that there will always be markets in India for elements that can be used by India to grow economies, grow businesses and provide more jobs and more wealth into society. But secondly, if you were concerned about the protectionist angle, the fact is that there is nothing stopping you coming to Australia to buy a mine to put those resources, those elements, into your own businesses, in the same way as is happening with coalfield in Queensland.

Also read: Malabar 2020: the coming together of the Quad in the seas

Firstly, Australia is already contributing to Indias national quantum mission by facilitating partnerships with universities, research institutions and businesses. That includes one of the best relationships we have with India, which is the Australian India Strategic Research Fund, which has been going for over 20 years. Since 2013, one of our Australians of the Year, Professor Michelle Simmons, has led a team of researchers at New South Wales Universitys (UNSW) Centre for Quantum Computation and Communication Technology, seeking to build the first quantum computer in silicon.

For quantum computers to be successful with their calculations, they have to be 100% accurate, but electrical interference called charge noise gets in the way. To tackle this problem, the UNSW has used a Research Fund from that Australia India Strategic Research Fund to collaborate with the Indian Institute of Science Bangalore, to combine Australias state of the art fabrication facilities, and Indias ultra-sensitive noise measurement apparatus. This has helped identify how and where the fabrication process should be adjusted. Earlier this year, the UNSW team was able to achieve a 99.99% accuracy in their atomic level silicon prototype. They believe it is only a matter of time before theyre able to demonstrate 100% reliability, and produce a 10 qubit prototype quantum integrated processor, hopefully by 2023. This has the potential to revolutionise virtually every industry, solving problems and processing information that would take a conventional computer millions of years to calculate in seconds. This is practical cooperation between the UNSW and the Institute in Bangalore, going on right now ready to hopefully come to practical fruition in 2023. Equally, in the upcoming Bengaluru Tech Summit we will host an exclusive session providing an overview of our innovative ecosystem, our cyber and critical technology capabilities, growing space ambitions, and the applications of computing, and quantum computing. Professor Simmons will be one of the keynote speakers. We recommend tuning into 11 a.m. on Friday November 20 for the session From Cyberspace to Outer Space: Innovating with Australia in a Post-COVID World. The bottom line is that India and Australia, through two respected institutions, are close to cracking something nowhere else in the world has been cracked, and it is likely to be ready within the next three years.

Firstly, we have a space sector going back to back to 1967. We launched our first rocket in South Australia and Woomera in 1967. But we were also critical to NASA throughout, regarding the use of space as part of NASAs global space infrastructure. We received those pictures from the first moon landing and broadcast them to the world. The U.S.s two systems failed and ours didnt fail on camera, and thats why we had pictures of Neil Armstrong walking on the moon. We have facilitated communication with deep space probes and also the landing craft on Mars.

Australia and India have been cooperating together as countries since 1987, when we inked our first MoU, and there is a strong engagement between ISRO and Australian agencies. We have undertaken data collaboration on Indian remote satellites. Since 2013, we have been doing laser ranging for Indian regional navigational satellite systems. We launched an Australian satellite by an Australian company and of course, we look forward to your manned space mission in 2022. We are exploring how we can place temporary ground station tracking facilities in Australia to support that Gaganyaan Mission. That is something that is practically under way as we speak. But we have been impressed by Indias capabilities and ambitions in space. You have the record for the most number of satellites released by a single rocket ever. It was more than 100 in 2017.

A lot of the universities are using the online option. As someone whos been coming to India for 10 years, initially I did notice a resistance to online education. Like the other technologies that were finally using during COVID, that resistance has been broken down. I confirmed that with the Director of the Indian Institute of Technology, IIT Madras. But we recognise that it is face-to-face learning, like face-to-face working, is still what most people want. A number of Australian States are starting pilot programmes to demonstrate that students can be picked up and returned to Australia into campuses safely given the COVID spread. And my Education Minister Dan Tehan made the point two weeks ago that the Australian government is keen for that to happen as soon as possible. The latest part to be announced was one from South Australia that will fly students out of Singapore into Australia. There was an early one announced by the Northern Territory. On the back of those, there is a hope that we will be able to return students to Australia for Day One, Term One, next year. But it will depend on those State trials. It is a bit like our approach to opening up bubbles with other countries: we would like to see things being done in situ, in practice, in real time to show that it can succeed. If the trials are successful, I remain confident about next year.

The challenge at the present time is that both countries have international flight bans. The only flights operating between both countries are repatriation flights. Malaysia and Singapore, which were the two countries in pre-COVID times where passengers could transit to get to Australia or to come to India, are not accepting Indian citizens. But that in no way undermines Australias desire to resume whatever is going to be business as usual, in relation to tertiary education.

Australian State governments and our education institutions themselves have put a lot of effort into looking after those Indian students who were stranded in Australia due to the COVID-19 crisis. Some of them are people that have had to wait a month or two until the Vande Bharat planes started. Having graduated mid-year, they have now hopefully most of them flying home, while others are still continuing their studies. Whilst, like many places at the start of COVID-19, there were a few teething problems, Im delighted to say a combination of State and federal governments and the universities and the Indian community there have been supportive of Indian students in Australia.

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Strategic Partnership will aid smooth work in the event of regional crisis: Australia High Commissioner - The Hindu

COVID-19 has been a gut punch. Our response? Largely frantic, like deer caught in the headlights. Researchers are racing to find a vaccine, as we pause in lockdown mode. But the process of drug discovery is lengthy and expensive, just like the process of discovering and designing any material crucial to fighting existential problems.

But these problems are piling up: pandemics, climate change, antibiotic resistance, food security, cyber-challenges, shared-economic prosperity and so on. We urgently need to change our traditional approach to science.

We have a rare and narrowing window of change to build a better world after the pandemic.

The World Economic Forum's inaugural Pioneers of Change meeting will bring together leaders of emerging businesses, social entrepreneurs and other innovators to discuss how to spark and scale up meaningful change.

To follow the Summit as an individual, you can become a digital subscriber here. As a company, you can participate in the summit by becoming a member of our New Champions Community.

For centuries, weve done science in a linear way: an issue prompts a hypothesis, followed by a model and a test. If the result is a failure, the process starts again, and iterations may take years. And its got us far; its how weve developed better plastics, more efficient solar panels and lighter-but-stronger composites for modern aircraft.

But the world is changing rapidly; in order to tackle todays global challenges with the speed and effectiveness they demand, we need a new way to do science.

Science is an inherently creative process; scientists are constantly expanding their imagination to explore new designs of drugs and chemicals. But the human brain has its limits. After all, there are more possible designs of a molecule than there are atoms in the universe. No human can sift through all of them to come up with the best option.

The good news is we do have the ingredients to give science or our brains limits a boost: cutting-edge computing technology and talent. The real challenge is to apply them strategically, in both public and private sectors.

Image: IBM Research

Helping science determine a new path

The world is witnessing a revolution in computing. Artificial Intelligence (AI) is enhancing traditional computing and could soon boost the emerging quantum ones: the very machines that could allow us to solve some of the worlds greatest problems. They can be accessed from anywhere on the planet through a hybrid cloud.

More and more companies and labs are now using AI, whose deep neural networks are able to extract scientific knowledge at scale from all the literature published on a specific topic.

Say a scientist needs to create a new catalyst for better artificial fertilizers. Instead of blindly trying to determine the catalysts chemical structure, AI would first sift through a multitude of patents, academic papers and other publications to see what had already been done on this topic.

Next, AI would automatically generate hypotheses based on the data it found, to expand the search for new molecular designs. Based on the most promising hypothesis, high-performance computers and quantum computers would simulate a new molecule.

Digital work done, the simulation would be confirmed or refuted during increasingly autonomous lab tests. Finally, AI would assess the result, identify anomalies and extract new knowledge. New questions would surface and the loop would continue.

To shift the paradigm of scientific discovery, we need to enable AI, hybrid cloud, and eventually quantum computing to converge. We also need a second ingredient new types of scientific collaborations or communities of discovery to be added to the mix.

What would we gain? An accelerated scientific method, fit for catalysing major transformations in science, and with unprecedented speed and automation. We could design new materials faster than ever before, impacting all aspects of our lives from healthcare to manufacturing, to agriculture and beyond.

For the first time, closing the loop in scientific discovery seems a very real and imminent possibility. When it does happen, we will have achieved the dream of scientific advancement being a self-propelled and never-ending process.

The need for new communities of discovery

But its not just technology that that will drive this new level of discovery; people will too. The world is teeming with the talent and creativity of millions of scientists spread across academia and industry, who shouldnt be tackling the numerous global crises they face independently. Indeed, no single company or university lab can overcome a pandemic on its own.

National and international private-public collaborations share knowledge, data and the latest technology, speeding up the process of discovery. Our need for more of them has never been greater.

They also need to be diverse. In science, problems can be big and complex, or small and more focused. For instance, CERN (the European Organization for Nuclear Research) requires a deeply coordinated community with scientists from 42 countries to run some two-million experiments every day across about 170 labs and thats just for the science coming from Large Hadron Collider.

And yet, science is becoming more open, with researchers from private and public sectors increasingly sharing papers, experiments, data, results and resources.

One successful example of such a smaller, new community of discovery is the COVID-19 High-Performance Computing Consortium. A collaboration of 87 partners from academia, industry and national labs, it has been granting researchers from around the world who are fighting the current pandemic access to supercomputers.

Industry partners are often rivals, but not in the current coronavirus vaccine endeavour. Every member of the Consortium is united by a common goal: to accelerate our search for a new treatment or vaccine against COVID-19. The benefits of collaboration are greater speed and accuracy; a freer exchange of ideas and data; and full access to cutting-edge technology. In sum, it supercharges innovation and hopefully means the pandemic will be halted faster than otherwise.

But material design isnt the limit.

With continuing evolution as an AI-accelerated approach that builds on data, advanced compute in hybrid cloud, progress in quantum computing and growing communities of discovery, the upgraded, self-propelled continuous scientific method should greatly impact multiple aspects of our lives. And with all the global crises of today and tomorrow, the need for it has never been greater.

Read more from the original source:
Scientific discovery must be redefined. Quantum and AI can help - World Economic Forum

New MIT Lincoln Laboratory's quantum chip with integrated photonics

Most experts agree that quantum computing is still in an experimental era. The current state of quantum technology has been compared to the same stage that classical computing was in during the late 1930s.

Quantum computing uses various computation technologies, such as superconducting, trapped ion, photonics, silicon-based, and others.It will likely be a decade or more before a useful fault-tolerant quantum machine is possible. However, a team of researchers at MIT Lincoln Laboratory has developed a vital step to advance the evolution of trapped-ion quantum computers and quantum sensors.

Most everyone knows that classical computers perform calculations using bits (binary digits) to represent either a one or zero.In quantum computers, a qubit (quantum bit) is the fundamental unit of information. Like classical bits, it can represent a one or zero. Still, a qubit can also be a superposition of both values when in a quantum state.

Superconducting qubits, used by IBM and several others, are the most commonly used technology.Even so, trapped-ion qubits are the most mature qubit technology. It dates back to the 1990s and its first use in atomic clocks. Honeywell and IonQ are the most prominent commercial users of trapped ion qubits.

Trapped-Ion quantum computers

Depiction of external lasers and optical equipment in a quantum computer ... [+]

Honeywell and IonQ both create trapped-ion qubits using an isotope of rare-earth metal called ytterbium.In its chip using integrated photonics, MIT used an alkaline metal called strontium.The process to create ions is essentially the same. Precision lasers remove an outer electron from an atom to form a positively charged ion.Then, lasers are used like tweezers to move ions into position. Once in position, oscillating voltage fields hold the ions in place. One main advantage of ions lies in the fact that it is natural instead of fabricated. All trapped-ion qubits are identical.A trapped-ion qubit created on earth would be the perfect twin of one created on another planet.

Dr. Robert Niffenegger, a member of the Trapped Ion and Photonics Group at MIT Lincoln Laboratory, led the experiments and is first author on the Nature paper.He explained why strontium was used for the MIT chip instead of ytterbium, the ion of choice for Honeywell and IonQ."The photonics developed for the ion trap are the first to be compatible with violet and blue wavelengths," he said. "Traditional photonics materials have very high loss in the blue, violet and UV.Strontium ions were used instead of ytterbium because strontium ions do not need UV light for optical control."

This figure shows lasers in Honeywell's powerful Model zero trapped-ion quantum computer. Parallel ... [+] operating zones are a key differentiating feature of its advanced QCCD trapped-ion system

All the manipulation of ions takes place inside a vacuum chamber containing a trapped-ion quantum processor chip.The chamber protects the ions from the environment and prevents collisions with air molecules. In addition to creating ions and moving them into position, lasers perform necessary quantum operations on each qubit.Because lasers and optical components are large, it is by necessity located outside the vacuum chamber.Mirrors and other optical equipment steer and focus external laser beams through the vacuum chamber windows and onto the ions.

The largest number of trapped-ion qubits being used in a quantum computer today is 32.For quantum computers to be truly useful, millions of qubits are needed.Of course, that means many thousands of lasers will also be required to control and measure the millions of ion qubits. The problem becomes even larger when two types of ions are used, such as ytterbium and barium in Honeywell's machine. The current method of controlling lasers makes it challenging to build trapped-ion quantum computers beyond a few hundred qubits.

Fiber optics couple laser light directly into the MIT ion-trap chip. When in use, the chip is cooled ... [+] to cryogenic temperatures in a vacuum chamber, and waveguides on the chip deliver the light to an ion trapped right above the chip's surface for performing quantum computation.

Rather than resorting to optics and bouncing lasers off mirrors to aim beams into the vacuum chamber, MIT researchers have developed another method.They have figured out how to use optical fibers and photonics to carry laser pulses directly into the chamber and focus them on individual ions on the chip.

A trapped-ion strontium quantum computer needs lasers of six different frequencies. Each frequency corresponds to a different color that ranges from near-ultraviolet to near-infrared.Each color performs a different operation on an ion qubit. The MIT press release describes the new development this way, "Lincoln Laboratory researchers have developed a compact way to deliver laser light to trapped ions. In the Nature paper, the researchers describe a fiber-optic block that plugs into the ion-trap chip, coupling light to optical waveguides fabricated in the chip itself. Through these waveguides, multiple wavelengths [colors] of light can be routed through the chip and released to hit the ions above it."

Light is coupled to the MIT integrated photonic trap chip via optical fibers which enter the ... [+] cryogenic vacuum chamber through a fiber feed-

In other words, rather than using external mirrors to shine lasers into the vacuum chamber, MIT researchers used multiple optical fibers and photonic waveguides instead.A block equipped with four optic fibers delivering a range of colors was mounted on the quantum chip's underside. According to Niffenegger, "Getting the fiber block array aligned to the waveguides on the chip and applying the epoxy felt like performing surgery. It was a very delicate process. We had about half a micron of tolerance, and it needed to survive cool down to4 Kelvin."

I asked Dr. Niffenegger his thoughts about the long-term implications of his team's development.His reply was interesting.

"I think many people in the quantum computing field think that the board is set and all of the leading technologies at play are well defined. I think our demonstration, together with other work integrating control of trapped ion qubits, could tip the game on its head and surprise some people that maybe the rules arent what they thought.But really I just hope that it spurs more out of the box ideas that could enable quantum computing technologies to break through towards practical applications.

Analyst Notes:

Note: Moor Insights & Strategy writers and editors may have contributed to this article.

Disclosure: Moor Insights & Strategy, like all research and analyst firms, provides or has provided paid research, analysis, advising, or consulting to many high-tech companies in the industry, including 8x8, Advanced Micro Devices, Amazon, Applied Micro, ARM, Aruba Networks, AT&T, AWS, A-10 Strategies, Bitfusion, Blaize, Calix, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Digital Optics, Dreamchain, Echelon, Ericsson, Extreme Networks, Flex, Foxconn, Frame, Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Google (Nest-Revolve), Google Cloud, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Ion VR, Inseego, Intel, Interdigital, Jabil Circuit, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, MapBox, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Mesophere, Microsoft, Mojo Networks, National Instruments, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, ON Semiconductor, ONUG, OpenStack Foundation, Oracle, Poly, Panasas, Peraso, Pexip, Pixelworks, Plume Design, Portworx, Pure Storage, Qualcomm, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Residio, Samsung Electronics, SAP, SAS, Scale Computing, Schneider Electric, Silver Peak, SONY, Springpath, Spirent, Splunk, Sprint, Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys, Tanium, TE Connectivity, TensTorrent, Tobii Technology, Twitter, Unity Technologies, UiPath, Verizon Communications, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zebra, Zededa, and Zoho which may be cited in this article

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MIT Lincoln Laboratory Creates The First Trapped-Ion Quantum Chip With Integrated Photonics - Forbes

Lasers were created 60 years ago this year, when three different laser devices were unveiled by independent laboratories in the United States. A few years later, one of these inventors called the unusual light sources a solution seeking a problem. Today, the laser has been applied to countless problems in science, medicine and everyday technologies, with a market of more than US$11 billion per year.

A crucial difference between lasers and traditional sources of light is the temporal coherence of the light beam, or just coherence. The coherence of a beam can be measured by a number C, which takes into account the fact light is both a wave and a particle.

Read more: Explainer: what is wave-particle duality

From even before lasers were created, physicists thought they knew exactly how coherent a laser could be. Now, two new studies (one by myself and colleagues in Australia, the other by a team of American physicists) have shown C can be much greater than was previously thought possible.

The coherence C is roughly the number of photons (particles of light) emitted consecutively into the beam with the same phase (all waving together). For typical lasers, C is very large. Billions of photons are emitted into the beam, all waving together.

This high degree of coherence is what makes lasers suitable for high-precision applications. For example, in many quantum computers, we will need a highly coherent beam of light at a specific frequency to control a large number of qubits over a long period of time. Future quantum computers may need light sources with even greater coherence.

Read more: Explainer: quantum computation and communication technology

Physicists have long thought the maximum possible coherence of a laser was governed by an iron rule known as the Schawlow-Townes limit. It is named after the two American physicists who derived it theoretically in 1958 and went on to win Nobel prizes for their laser research. They stated that the coherence C of the beam cannot be greater than the square of N, the number of energy-excitations inside the laser itself. (These excitations could be photons, or they could be atoms in an excited state, for example.)

Now, however, two theory papers have appeared that overturn the Schawlow-Townes limit by reimagining the laser. Basically, Schawlow and Townes made assumptions about how energy is added to the laser (gain) and how it is released to form the beam (loss).

The assumptions made sense at the time, and still apply to lasers built today, but they are not required by quantum mechanics. With the amazing advances that have occurred in quantum technology in the past decade or so, our imagination need not be limited by standard assumptions.

The first paper, published this week in Nature Physics, is by my group at Griffith University and a collaborator at Macquarie University. We introduced a new model, which differs from a standard laser in both gain and loss processes, for which the coherence C is as big as N to the fourth power.

In a laser containing as many photons as a regular laser, this would allow C to be much bigger than before. Moreover, we show a laser of this kind could in principle be built using the technology of superconducting qubits and circuits which is used in the currently most successful quantum computers.

Read more: Why are scientists so excited about a recently claimed quantum computing milestone?

The second paper, by a team at the University of Pittsburgh, has not yet been published in a peer-reviewed journal but recently appeared on the physics preprint archive. These authors use a somewhat different approach, and end up with a model in which C increases like N to the third power. This group also propose building their laser using superconducting devices.

It is important to note that, in both cases, the laser would not produce a beam of visible light, but rather microwaves. But, as the authors of this second paper note explicitly, this is exactly the type of source required for superconducting quantum computing.

The standard limit is that C is proportional to N , the Pittsburgh group achieved C proportional to N , and our model has C proportional to N . Could some other model achieve an even higher coherence?

No, at least not if the laser beam has the ideal coherence properties we expect from a laser beam. This is another of the results proven in our Nature Physics paper. Coherence proportional to the fourth power of the number of photons is the best that quantum mechanics allows, and we believe it is physically achievable.

An ultimate achievable limit that surpasses what is achievable with standard methods, is known as a Heisenberg limit. This is because it is related to Heisenbergs uncertainty principle.

Read more: Explainer: Heisenbergs Uncertainty Principle

A Heisenberg-limited laser, as we call it, would not be just a revolution in the design and performance of lasers. It also requires a fundamental rethinking of what a laser is: not restricted to the current kinds of devices, but any device which turns inputs with little coherence into an output of very high coherence.

It is the nature of revolutions that it is impossible to tell whether they will succeed when they begin. But if this one does, and standard lasers are supplanted by Heisenberg-limited lasers, at least in some applications, then these two papers will be remembered as the first shots.

Original post:
Reimagining the laser: new ideas from quantum theory could herald a revolution - The Conversation AU

Quantum mechanics, the physics of atoms and subatomic particles, can be strange, especially compared to the everyday physics of Isaac Newtons falling apples. But this unusual science is enabling researchers to develop new ideas and tools, including quantum computers, that can help demystify the quantum realm and solve complex everyday problems.

Thats the goal behind a new U.S. Department of Energy Office of Science (DOE-SC) grant, awarded to Michigan State University (MSU) researchers, led by physicists at Facility for Rare Isotope Beams (FRIB). Working with Los Alamos National Laboratory, the team is developing algorithms essentially programming instructions for quantum computers to help these machines address problems that are difficult for conventional computers. For example, problems like explaining the fundamental quantum science that keeps an atomic nucleus from falling apart.

The $750,000 award, provided by the Office of Nuclear Physics within DOE-SC, is the latest in a growing list of grants supporting MSU researchers developing new quantum theories and technology.

The aim is to improve the efficiency and scalability of quantum simulation algorithms, thereby providing new insights on their applicability for future studies of nuclei and nuclear matter, said principal investigator Morten Hjorth-Jensen, an FRIB researcher who is also a professor in MSUs Department of Physics and Astronomy and a professor of physics at the University of Oslo in Norway.

Morten Hjorth-Jensen (Credit: Hilde Lynnebakken)

Although this grant focuses on nuclear physics, the algorithms it yields could benefit other fields looking to use quantum computings promise to more rapidly solve complicated problems. This includes scientific disciplines such as chemistry and materials science, but also areas such as banking, logistics, and data analytics.

There is a lot of potential for transferring what we are developing into other fields, Hjorth-Jensen said. Hopefully, our results will lead to an increased interest in theoretical and experimentaldevelopments of quantum information technologies. All the algorithms developed as part of this work will be publicly available, he added.

What makes quantum computers attractive tools for these applications is a freedom afforded by quantum mechanics.

Classical computers are constrained to a binary system of zeros and ones with transistors that are either off or on. The restrictions on quantum computers are looser.

Instead of transistors, quantum computers use technology called qubits (pronounced q-bits) that can be both on and off at the same time. Not somewhere in between, but in both opposite states at once.

Combined with the proper algorithms, this freedom enables quantum computers to run certain calculations much faster than their classical counterparts. The type of calculations, for instance, capable of helping scientists explain precisely how swarms of elementary particles known as quarks and gluons hold atomic nuclei together.

"It is really hard to do those problems, said Huey-Wen Lin, a co-investigator on the grant. I dont see a way to solve them any time soon with classical computers.

Huey-Wen Lin

Lin is an assistant professor in the Department of Physics and Astronomy and the Department of Computational Mathematics, Science and Engineering at MSU.

She added that quantum computers wont solve these problems immediately, either. But the timescales could be measured in years rather than careers.

Hjorth-Jensen believes this project will also help accelerate MSUs collaborations in quantum computing. Formally, this grant supports a collaboration of eight MSU researchers and staff scientist Patrick Coles at Los Alamos National Laboratory.

But Hjorth-Jensen hopes the project will spark more discussions and forge deeper connections with the growing community of quantum experts across campus and prepare the next generation of researchers. The grant will also open up new opportunities in quantum computing training for MSU students who are studying in the nations top-ranked nuclear physics graduate program.

The grant, titled From Quarks to Stars: A Quantum Computing Approach to the Nuclear Many-Body Problem, was awarded as part of Quantum Horizons: Quantum Information Systems Research and Innovation for Nuclear Science," a funding opportunity issued by DOE-SC.

Hjorth-Jensen and Lin are joined on this grant by their MSU colleagues Alexei Bazavov and Matthew Hirn from the Department of Computational Mathematics, Science and Engineering; Scott Bogner, Heiko Hergert, Dean Lee and Andrea Shindler from FRIB, and the Department of Physics and Astronomy. Hirn is also an assistant professor in the Department of Mathematics.

MSU is establishing FRIB as a new user facility for the Office of Nuclear Physics in the U.S. Department of Energy Office of Science. Under construction on campus and operated by MSU, FRIB will enable scientists to make discoveries about the properties of rare isotopes in order to better understand the physics of nuclei, nuclear astrophysics, fundamental interactions, and applications for society, including in medicine, homeland security, and industry.

The U.S. Department of Energy Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of todays most pressing challenges. For more information, visit energy.gov/science.

See more here:
Bringing the promise of quantum computing to nuclear physics - MSUToday

Capturing carbon dioxide to slow climate change and repurposing existing drugs to produce a vaccine for COVID-19 are two of the predictions from IBMs annual 5 in 5 technology report.

Five ways technology will change our lives within five years, is the IBM Research paper which outlines how accelerating the process of discovery will result in a sustainable future.

Each year, IBM showcases how they believe technology will reshape business and society, informed by work occurring within IBM Researchs global labs and industry trends.

Today, the convergence of emerging technologies including Artificial Intelligence (AI) and quantum computing is enabling us to consider a wider range of questions once thought out of reach, states the report.

We urgently need to design new materials to tackle pressing societal challenges addressed in the UN Sustainable Development Goals, from fostering good health and clean energy to bolstering sustainability, climate action and responsible production.

Top five predictions by IBM Research include:

Carbon dioxide conversion - Slow climate change by the capture and reuse of CO2 in the atmosphere

Antivirals Repurpose drugs to reduce time spent on drug discovery to beat COVID-19 and future pandemics

Energy storage - Accelerated discovery of new materials for better batteries to meet global demand for electricity without raising the temperature of the Earth

Nitrogen fixation - AI and quantum computing will come up with a solution to enable nitrogen fixation to feed the worlds growing population (estimated to be 10 billion by 2050)

Photoresists - Scientists will embrace a new approach to materials that lets the tech industry more quickly to produce sustainable materials to produce semiconductors and electronic devices

Taking a closer look at the five predictions reveal the following points:

IBM predicts that it will be possible to capture and reuse carbon dioxide from the atmosphere in a bid to slow down climate change.

It is reported that climate change will lead to higher levels of CO2 by 2025 than those seen during the warmest period of the last 3.3 million years. A team of IBM researchers are creating a cloud-based knowledge base of existing methods and materials to capture CO2

Progressing carbon capture and sequestration before it is too late requires an acceleration of the discovery process. Sophisticated AI systems and AI-guided automatic lab experiments would test large numbers of chemical reactions.

The goal over the next five years is to make CO2 capture and reuse efficient enough to scale globally so it can reduce the amount of CO2 released into the atmosphere and slow climate change.

IBM predicts medical researchers will identify new opportunities for drug repurposing which would help find a vaccine against COVID-19 and future viruses.

Scientists estimate there are more than a million viruses in nature with a potential to spread like COVID-19. It can take up to $2.6 billion and more than a decade for a new drug to reach the market.

One way to kick-start the process is to identify potential therapies from existing drugs - jumpstarting subsequent research to help enable rapid clinical trials and regulatory review.

IBM Research outlines that solutions could include a combination of AI analytics and data that could potentially help with real-world medical evidenceto suggest new candidates for drug repurposing.

In the context of COVID-19, researchers used this technology with real-world evidence to suggest the use of two existing drugs. The first was approved for specific immunological and endocrine disorders and the second was one in use for treating prostate cancer.

Energy storage - Rethinking batteries

IBM predicts it will be possible to discover new materials for safer and more environmentally preferable batteries capable of supporting a renewable-based energy grid and more sustainable transportation.

Many renewable energy sources are intermittent and require storage. The use of AI and quantum computing will result in batteries built with safer and more efficient materials for improved performance, stresses the report.

IBM predict that it will be possible to replicate natures ability to convert nitrogen in the atmosphere into nitrate-rich fertiliser, feeding the growing world population while reducing the environmental impact of fertilisers.

Using the accelerated discovery cycle, researchers will sift through existing knowledge about catalysts. In a few years, a quantum computer might be able to precisely simulate different nitrogen fixation catalytic processes, further augmenting our knowledge.

Well come up with an innovative solution to enable nitrogen fixation at a sustainable scale.

Semiconductor transistors have shrunk, giving us smaller, more powerful gadgets as more processing power onto a single chip. This shrinking has been enabled by materials known as photoresists.

But with billions of phones, TVs, and cars in the world it is imperative all the chemicals, materials and processes used in their manufacture are sustainable.

IBM predicts it will be possible to advance materials manufacturing, enabling semiconductor manufacturers to improve the sustainability of their coveted products.

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IBM: Five ways technology will shape our lives | Technology & AI | Business Chief North America - Business Chief

A fast-growing UK startup is quietly making strides in the promising field of quantum photonics. Cambridge-based company Nu Quantum is building devices that can emit and detect quantum particles of light, called single photons. With a freshly secured 2.1 million ($2.71 million) seed investment, these devices could one day underpin sophisticated quantum photonic systems, for applications ranging from quantum communications to quantum computing.

The company is developing high-performance light-emitting and light-detecting components, which operate at the single-photon level and at ambient temperature, and is building a business based on the combination of quantum optics, semiconductor photonics, and information theory, spun out of the University of Cambridge after eight years of research at the Cavendish Laboratory.

"Any quantum photonic system will start with a source of single photons, and end with a detector of single photons," Carmen Palacios-Berraquero, the CEO of Nu Quantum, tells ZDNet. "These technologies are different things, but we are bringing them together as two ends of a system. Being able to controllably do that is our main focus."

SEE: Hiring Kit: Computer Hardware Engineer (TechRepublic Premium)

As Palacios-Berraquero stresses, even generating single quantum particles of light is very technically demanding.

In fact, even the few quantum computers that exist today, which were designed by companies such as Google and IBM, rely on the quantum states of matter, rather than light. In other words, the superconducting qubits that can be found in those tech giants' devices rely on electrons, not photons.

Yet the superconducting qubits found in current quantum computers are, famously, very unstable. The devices have to operate in temperatures colder than those found in deep space to function, because thermal vibrations can cause qubits to fall from their quantum state. On top of impracticality, this also means that it is a huge challenge to scale up the number of qubits in the computer.

A photonic quantum computer could have huge advantages over its matter-based counterpart. Photons are much less prone to interact with their environment, which means they can retain their quantum state for much longer and over long distances. A photonic quantum computer could, in theory, operate at room temperature and as a result, scale up much faster.

The whole challenge comes from creating the first quantum photon, explains Palacios-Berraquero. "Being able to emit one photon at a time is a ground-breaking achievement. In fact, it has become the Holy Grail of quantum optics."

"But I worked on generating single photons for my PhD. That's the IP I brought to the table."

Carmen Palacios-Berraquero and the Nu Quantum team just secured a 2.1 million ($2.71 million) seed investment.

Combined with improved technologies in the fields of nanoscale semi-conductor fabrication, Palacios-Berraquero and her team set off to crack the single-photon generation problem.

Nu Quantum's products come in the form of two little boxes: the first one generates the single photons that can be used to build quantum systems for various applications, and the other measures the quantum signals emitted by the first one. The technology, maintains the startup CEO, is bringing quantum one step closer to commercialization and adoption.

"Between the source and the detector of single photons, many things can happen, from the simplest to the most complex," explains Palacios-Berraquero. "The most complex one being a photonic quantum computer, in which you have thousands of photons on one side and thousands of detectors on the other. And in the middle, of course, you have gates, and entanglement, and and, and and. But that's the most complex example."

A photonic quantum computer is still a very long-term ambition of the startup CEO. A simpler application, which Nu Quantum is already working on delivering commercially with the UK's National Physical Laboratory, is quantum random number generation a technology that can significantly boost the security of cryptographic keys that secure data.

The keys that are currently used to encrypt the data exchanged between two parties are generated thanks to classical algorithms. Classical computing is deterministic: a given input will always produce the same output, meaning that complete randomness is fundamentally impossible. As a result, classical algorithms are predictable to an extent. In cryptography, this means that security keys can be cracked fairly easily, given sufficient computing power.

Not so much with quantum. A fundamental property of quantum photons is that they behave randomly: for example, if a single photon is sent down a path that separates in two ways, there is no way of knowing deterministically which way the particle will choose to go through.

SEE: What is the quantum internet? Everything you need to know about the weird future of quantum networks

The technology that Nu Quantum is developing with the National Physical Laboratory, therefore, consists of a source of single photons, two detectors, and a two-way path linking the three devices. "If we say the right detector is a 1, and the left detector is a 0, you end up with a string of numbers that's totally random," says Palacios-Berraquero. "The more random, the more unpredictable the key is, and the more secure the encryption."

Nu Quantum is now focusing on commercializing quantum random number generation, but the objective is to build up systems that are increasingly complex as the technology improves. Palacios-Berraquero expects that in four or five years, the company will be able to start focusing on the next step.

One day, she hopes, Nu Quantum's devices could be used to connect quantum devices in a quantum internet a decade-long project contemplated by scientists in the US, the EU, and China, which would tap the laws of quantum mechanics to almost literally teleport some quantum information from one quantum device to the next. Doing so is likely to require single photons to be generated and distributed between senders and receivers, because of the light particles' capacity to travel longer distances.

In the shorter term, the startup will be focusing on investing the seed money it has just raised. On the radar, is a brand-new lab and headquarters in Cambridge, and tripling the size of the team with a recruitment drive for scientists, product team members and business functions.

Read the original here:
Quantum computing: Photon startup lights up the future of computers and cryptography - ZDNet

An all inclusive report will suit business requirements in many ways while also assisting in informed decision making and smart working. Company profiles of the key market competitors are analysed with respect to company snapshot, geographical presence, product portfolio, and recent developments. To figure out market landscape, brand awareness, latest trends, possible future issues, industry trends and customer behaviour, the finest market research report is very essential.Market research report provides myriad of benefits for a prosperous business.This report is the best to gain a competitive advantage in this quickly transforming marketplace.

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Global quantum computing market is projected to register a healthyCAGR of 29.5% in the forecast period of 2019 to 2026.

On the off chance that you are associated with the Quantum Computing Analytics industry or mean to be, at that point this investigation will give you far reaching standpoint. Its crucial you stay up with the latest Quantum Computing Market segmented by:If you are involved in the Quantum Computing industry or intend to be, then this study will provide you comprehensive outlook. Its vital you keep your market knowledge up to datesegmentedBy System (Single Qubit Quantum System and Multiple Qubit System), Qubits (Trapped Ion Qubits, Semiconductor Qubits and Super Conducting), Deployment Model (On-Premises and Cloud), Component (Hardware, Software and Services), Application (Cryptography, Simulation, Parallelism, Machine Learning, Algorithms, Others), Logic Gates (Toffoli Gate, Hadamard Gate, Pauli Logic Gates and Others), Verticals (Banking And Finance, Healthcare & Pharmaceuticals, Defence, Automotive, Chemical, Utilities, Others) and Geography (North America, South America, Europe, Asia- Pacific, Middle East and Africa) Industry Trends and Forecast to 2026

Unlock new opportunities with DBMR reports to gain insightful analyses about the Quantum Computing market and have a comprehensive understanding. Learn about the market strategies that are being adopted by your competitors and leading organizations also potential and niche segments/regions exhibiting promising growth.

New vendors in the market are facing tough competition from established international vendors as they struggle with technological innovations, reliability and quality issues. The report will answer questions about the current market developments and the scope of competition, opportunity, cost and more.

According to the Regional Segmentation the Main Bearing Market provides the Information covers following regions:

The key countries in each region are taken into consideration as well, such as United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Market Dynamics:

Set of qualitative information that includes PESTEL Analysis, PORTER Five Forces Model, Value Chain Analysis and Macro Economic factors, Regulatory Framework along with Industry Background and Overview.

Some of the Major Highlights of TOC covers:

Chapter 1: Methodology & Scope

Definition and forecast parameters

Methodology and forecast parameters

Data Sources

Chapter 2: Executive Summary

Business trends

Regional trends

Product trends

End-use trends

Chapter 3: Quantum Computing Industry Insights

Industry segmentation

Industry landscape

Vendor matrix

Technological and innovation landscape

Chapter 4: Quantum Computing Market, By Region

North America

South America

Europe

Asia-Pacific

Middle East and Africa

Chapter 5: Company Profile

Business Overview

Financial Data

Product Landscape

Strategic Outlook

SWOT Analysis

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In addition, the years considered for the study are as follows:

Historical year 2014-2019 | Base year 2019 | Forecast period 2020 to 2027

Key Insights that Study is going to provide:

The 360-Quantum Computing overview based on a global and regional level

Market Share & Sales Revenue by Key Players & Emerging Regional Players

Competitors In this section, various Quantum Computing industry leading players are studied with respect to their company profile, product portfolio, capacity, price, cost, and revenue.

A separate chapter on Market Entropy to gain insights on Leaders aggressiveness towards market [Merger & Acquisition / Recent Investment and Key Developments]

Patent Analysis** No of patents / Trademark filed in recent years.

A complete and useful guide for new market aspirants

Forecast information will drive strategic, innovative and profitable business plans and SWOT analysis of players will pave the way for growth opportunities, risk analysis, investment feasibility and recommendations

Supply and Consumption In continuation of sales, this section studies supply and consumption for the Quantum Computing Market. This part also sheds light on the gap between supply and consumption. Import and export figures are also given in this part

Production Analysis Production of the Quantum Computing is analyzed with respect to different regions, types and applications. Here, price analysis of various Quantum Computing Market key players is also covered.

Sales and Revenue Analysis Both, sales and revenue are studied for the different regions of the Quantum Computing Market. Another major aspect, price, which plays an important part in the revenue generation, is also assessed in this section for the various regions.

Other analyses Apart from the information, trade and distribution analysis for the Quantum Computing Market

Competitive Landscape:Company profile for listed players with SWOT Analysis, Business Overview, Product/Services Specification, Business Headquarter, Downstream Buyers and Upstream Suppliers.

May vary depending upon availability and feasibility of data with respect to Industry targeted

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Key questions answered in this report-:

Research Methodology: Global Quantum Computing Market

Primary Respondents:OEMs, Manufacturers, Engineers, Industrial Professionals.

Industry Participants:CEOs, V.P.s, Marketing/Product Managers, Market Intelligence Managers and, National Sales Managers.

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Global quantum computing market is projected to register a healthy CAGR of 29.5% in the forecast period of 2019 to 2026. - re:Jerusalem

Cryptographers are in the business of being paranoid, but their fears over quantum computers might be justified. Within the next 10 to 15 years, a quantum computer could solve some problems many millions of times faster than a classical computer and, one day, crack many of the defenses used to secure the internet.

The worst-case scenario is quite bad, says Chris Peikert, associate professor of computer science and engineering at the University of Michigan, who has been studying cryptography for two decades.

That is why Dr. Peikert and hundreds of the worlds top cryptographers are involved in a competition to develop new encryption standards for the U.S., which would guard against both classical and quantum-computing cyberattacks.

This summer, federal officials announced the 15 algorithms that will be considered for standardization, meaning the winners would become a part of the architecture of the internet, protecting peoples sensitive data.

Next, researchers will spend about a year trying to break them to see which ones hold up, and test them to get the best balance of performance and security.

Read this article:
The Contest to Protect Almost Everything on the Internet - The Wall Street Journal

GlobalQuantum SoftwareMarket Report is an objective and in-depth study of the current state aimed at the major drivers, market strategies, and key players growth. The study also involves the important Achievements of the market, Research & Development, new product launch, product responses and regional growth of the leading competitors operating in the market on a universal and local scale. The structured analysis contains graphical as well as a diagrammatic representation of worldwideQuantum SoftwareMarket with its specific geographical regions.

[Due to the pandemic, we have included a special section on the Impact of COVID 19 on the @ Market which would mention How the Covid-19 is Affecting the Global Quantum Software Market

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Global Quantum Software(Thousands Units) and Revenue (Million USD) Market Split by Product Type such as System Software, Application Software,

The research study is segmented by Application such as Laboratory, Industrial Use, Public Services & Others with historical and projected market share and compounded annual growth rate.GlobalQuantum Softwareby Region (2019-2028)

Geographically,this report is segmented into several key Regions, with production, consumption, revenue (million USD), and market share and growth rate ofQuantum Softwarein these regions, from 2013to 2029(forecast), covering

Additionally, the export and import policies that can make an immediate impact on theGlobal Quantum Software Market. This study contains a EXIM* related chapter on theQuantum Softwaremarket and all its associated companies with their profiles, which gives valuable data pertaining to their outlook in terms of finances, product portfolios, investment plans, and marketing and business strategies. The report on theGlobal Quantum Software Marketan important document for every market enthusiast, policymaker, investor, and player.

Key questions answered in this report Data Survey Report 2029

What will the market size be in 2029and what will the growth rate be?What are the key market trends?What is driving Global Quantum Software Market?What are the challenges to market growth?Who are the key vendors inspace?What are the key market trends impacting the growth of theGlobal Quantum Software Market?What are the key outcomes of the five forces analysis of theGlobal Quantum Software Market?

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There are 15 Chapters to display theGlobal Quantum Software Market.

Chapter 1, to describe Definition, Specifications and Classification ofQuantum Software, Applications ofQuantum Software, Market Segment by Regions;

Chapter 2, to analyze the Manufacturing Cost Structure, Raw Material and Suppliers, Manufacturing Process, Industry Chain Structure;

Chapter 3, to display the Technical Data and Manufacturing Plants Analysis ofQuantum Software, Capacity and Commercial Production Date, Manufacturing Plants Distribution, R&D Status and Technology Source, Raw Materials Sources Analysis;

Chapter 4, to show the Overall Market Analysis, Capacity Analysis (Company Segment), Sales Analysis (Company Segment), Sales Price Analysis (Company Segment);

Chapter 5 and 6, to show the Regional Market Analysis that includes North America, Europe, Asia-Pacific etc.,Quantum SoftwareSegment Market Analysis by System Software, Application Software,;

Chapter 7 and 8, to analyze theQuantum SoftwareSegment Market Analysis (by Application) Major Manufacturers Analysis ofQuantum Software;

Chapter 9, Market Trend Analysis, Regional Market Trend, Market Trend by Product Type System Software, Application Software,, Market Trend by Application Big Data Analysis, Biochemical Manufacturing, Machine Learning,;

Chapter 10, Regional Marketing Type Analysis, International Trade Type Analysis, Supply Chain Analysis;

Chapter 11, to analyze the Consumers Analysis ofQuantum Software;

Chapter 12, to describeQuantum SoftwareResearch Findings and Conclusion, Appendix, methodology and data source;

Chapter 13, 14 and 15, to describeQuantum Softwaresales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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Quantum Software Market to Eyewitness Massive Growth by 2028: Origin Quantum Computing Technology, D Wave, IBM - The Daily Chronicle

Following its developer conference last week, Baidu today detailed Quantum Leaf, a new cloud quantum computing platform designed for programming, simulating, and executing quantum workloads. Its aimed at providing a programming environment for quantum-infrastructure-as-a-service setups, Baidu says, and it complements the Paddle Quantum development toolkit the company released earlier this year.

Experts believe that quantum computing, which at a high level entails the use of quantum-mechanical phenomena like superposition and entanglement to perform computation, could one day accelerate AI workloads. Moreover, AI continues to play a role in cutting-edge quantum computing research.

Baidu says a key component of Quantum Leaf is QCompute, a Python-based open source development kit with a hybrid programming language and a high-performance simulator. Users can leverage prebuilt objects and modules in the quantum programming environment, passing parameters to build and execute quantum circuits on the simulator or cloud simulators and hardware. Essentially, QCompute provides services for creating and analyzing circuits and calling the backend.

Quantum Leaf dovetails with Quanlse, which Baidu also detailed today. The company describes Quanlse as a cloud-based quantum pulse computing service that bridges the gap between software and hardware by providing a service to design and implement pulse sequences as part of quantum tasks. (Pulse sequences are a means of reducing quantum error, which results from decoherence and other quantum noise.) Quanlse works with both superconducting circuits and nuclear magnetic resonance platforms and will extend to new form factors in the future, Baidu says.

The unveiling of Quantum Leaf and Quanlse follows the release of Amazon Braket and Googles TensorFlow Quantum, a machine learning framework that can construct quantum data sets, prototype hybrid quantum and classic machine learning models, support quantum circuit simulators, and train discriminative and generative quantum models. Facebooks PyTorch relies on Xanadus multi-contributor project for quantum computing PennyLane, a third-party library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations. And Microsoft offers several kits and libraries for quantum machine learning applications.

Originally posted here:
Baidu offers quantum computing from the cloud - VentureBeat

Almost a month after the White House Office of Science and Technology Policy, the National Science Foundation, and the Department of Energy announced over $1 billion for the establishment of 12 new artificial intelligence (AI) and quantum information science (QIS) research institutes nationwide, IBM announced its first IBM Quantum education and research initiative for Historically Black Colleges and Universities (HBCU).

Led by Howard University and 12 additional HBCUs, the statement said the IBM-HBCU Quantum Center will offer access to its quantum computers, as well as collaboration on academic, education, and community outreach programs.

In addition, as part of the companys continued efforts around diversity and inclusion, IBM will make a $100M investment in technology, assets, resources, and skills development through partnerships with additional HBCUs through the IBM Skills Academy Academic Initiative.

We believe that in order to expand opportunity for diverse populations, we need a diverse talent pipeline of the next generation of tech leaders from HBCUs. Diversity and inclusion is what fuels innovation and students from HBCUs will be positioned to play a significant part of what will drive innovations for the future like quantum computing, cloud, and artificial intelligence, said Carla Grant Pickens, Chief Global Diversity & Inclusion Officer, IBM.

The $1 billion announced by the White House Office of Science and Technology Policy, the National Science Foundation (NSF), and the U.S. Department of Energy will go to National Science Foundation-led AI Research Institutes hosted by universities across the country, including at the University of Oklahoma, Norman, University of Texas, Austin, University of Colorado, Boulder, the University of Illinois at Urbana-Champaign, University of California, Davis, and the Massachusetts Institute of Technology.

The 13 HBCUs intending to participate in the Quantum Center were prioritized based on their research and education focus in physics, engineering, mathematics, computer science, and other STEM fields. They include;

Albany State University Clark Atlanta University Coppin State University Hampton University Howard University Morehouse College Morgan State University North Carolina Agricultural, and Technical State University Southern University Texas Southern University University of the Virgin Islands Virginia Union University Xavier University of Louisiana.

Howard University has prioritized our efforts to support our students pathway to STEM fields for many years with exciting results as we witness more and more graduates becoming researchers, scientists, and engineers with renowned national companies. Our faculty and students look forward to collaborating with our peer institutions through the IBM-HBCU Quantum Center. Were excited to share best practices and work together to prepare students to participate in a quantum-ready workforce, said President Wayne A. I. Frederick.

The HBCUs who are part of the Skills Academy Academic Initiative include Clark Atlanta University, Fayetteville State University, Grambling State University, Hampton University, Howard University, Johnson C. Smith University, Norfolk State University, North Carolina A&T State University, North Carolina Central University, Southern University System, Stillman College, Virginia State, and West Virginia State University.

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OSTP, NSF, DoE, and IBM make major push to strengthen research in AI and quantum - BlackEngineer.com

Sept. 21, 2020 On October 13 and 14, digital version of the next Teratec Forum will present a review of the latest international advances in the fields of simulation, HPC (High Performance Computing), Big Data and artificial intelligence.

These technologies are more than ever at the forefront at a time when the need for analysis, research, prototyping, innovation is all the more necessary for the revival of industry and the economy. And they are taking such due place in sectors as varied as health, industry, aerospace, construction, and security.

The virtual exhibition will thus present latest technologies proposed by nearly 50 exhibitors (manufacturers and publishers, suppliers and integrators of hardware, software and services solutions, universities and research laboratories, centers of excellence, competence centers, European research projects, infrastructures and service platforms). Visitors wishing to deepen their knowledge, to attend demonstrations and be advised by best experts will be able to arrange for personalized appointments throughout the forum.

The plenary session will address major challenges facing French and European industry for which these innovative technologies will play a key role, with the participation of Thierry Breton, European Commissioner, Florence Parly, French Minister of the Armed Forces, Trish Damkroger, Vice President, Intel Data Center Group, Kevin D. Kissell, CTO, Google, as well as French and European industry leaders.

During the technical and application workshops, renowned international experts and industrialists will explain how they developed and implemented these innovative technologies on main themes of the digital twin in medicine, quantum computing, satellite data serving the environment, AI and scientific computing, Cloud computing and HPC, as well as Exascale.

Finally, the Numerical Simulation and AI Trophies will reward one innovative project or a company that has carried out an outstanding operation in the field of numerical simulation, high-performance computing, Big Data or AI. Added to our 5 usual trophies, an exceptional prize will be granted this year: the COVID-19 Trophy awarded to a product, technology or service providing an effective solution in the management or recovery from a health crisis such as COVID-19.

Registration and Information:https://teratec.eu/forum

Source: Teratec

Continued here:
Teratec to Present the Latest Innovations in Simulation, HPC, Big Data and AI (Oct. 13-14) - HPCwire

The unique role of optics and photonics in driving quantum research and technologies was featured in presentations for the inaugural OSA Quantum 2.0 Conference held 14 17 September. The all-virtual event, presented concurrently with the 2020 Frontiers in Optics and Laser Science APS/DLS (FiO + LS) Conference, drew almost 2,500 registrants from more than 70 countries.

Live and pre-recorded technical presentations on quantum computing and simulation to quantum sensing were available for registrants across the globe at no cost. The conference engaged scientists, engineers and others addressing grand challenges in building a quantum science and technology infrastructure.

The meeting succeeded in bringing together scientists from academia, industry and government labs in a very constructive way, said conference co-chair Michael Raymer of the University of Oregon, USA. The high quality of the talks, along with the facilitation by the presiders and OSA staff, moves us closer to the goal of an open, global ecosystem for advancing quantum information science and technology.

Marissa Giustina, senior research scientist and quantum electronics engineerwith Google AI Quantum, described the companys efforts to build a quantum computer in her keynote talk. Googles goal was to build a prototype system that could enter a space where no classical computer can go at a size of about 50 qubits. To create a viable system, Guistina said there must be strong collaboration between algorithm and hardware developers.

Quantum Algorithms for Finite Energies and Temperatures was the focus of a talk by Ignacio Cirac, director of the Theory Division at the Max Planck Institute of Quantum Optics and Honorary Professor at the Technical University of Munich. He described advances in quantum simulators for addressing problems with the dynamics of physical quantum systems. His recent work focuses on developing algorithms for use on quantum simulators to solve many-body problems

Solutions to digital security challenges was the topic of a talk by Gregoire Ribordy,co-founder and CEO of ID Quantique, Switzerland. He described quantum security techniques, technology and strengths in his keynote talk titled Quantum Technologies for Long-term Data Security. His work centers on the use of quantum safe cryptography and quantum key distribution, and commercially available quantum random number generators in data security.

Mikhail Lukin, co-director of the Harvard Quantum Initiative in Science and Engineering and co-director of the Harvard-MIT Center for Ultracold Atoms, USA, described progress towards quantum repeaters for long-distance quantum communication. He also discussed a new platform for exploring synthetic quantum matter and quantum communication systems based on nanophotonics with atom-like systems.

Conference-wide sponsors for the combined OSA Quantum 2.0 Conference and FiO + LS Conference included Facebook Reality Labs, Toptica Photonics and Oz Optics. Registrants interacted with more than three dozen companies in the virtual exhibit to learn about their latest technologies from instruments for quantum science and education to LIDAR and remote sensing applications.

Registrants can continue to benefit from conference resources for 60 days. Recordings of the technical sessions, the e-Posters Gallery and the Virtual Exhibit will be available on-demand on the FiO + LS website.

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Inaugural OSA Quantum 2.0 Conference Featured Talks on Emerging Technologies - Novus Light Technologies Today

We're still a long way from realising the full potential of quantum computing, but scientists are making progress all the time and as a sign of what might be coming, IBM now says it expects to have a 1,000 qubit machine up and running by 2023.

Qubits are the quantum equivalents of classical computing bits, able to be set not just as a 1 or a 0, but as a superposition state that can represent both 1 and 0 at the same time. This deceptively simple property has the potential to revolutionise the amount of computing power at our disposal.

With the IBM Quantum Condor planned for 2023 running 1,121 qubits, to be exact we should start to see quantum computers start to tackle a substantial number of genuine real-world calculations, rather than being restricted to laboratory experiments.

IBM's quantum computing lab. (Connie Zhou for IBM)

"We think of Condor as an inflection point, a milestone that marks our ability to implement error correction and scale up our devices, while simultaneously complex enough to explore potential Quantum Advantages problems that we can solve more efficiently on a quantum computer than on the world's best supercomputers," writes physicist Jay Gambetta, IBM Fellow and Vice President of IBM Quantum.

It's a bold target to set, considering IBM's biggest quantum computer to date holds just 65 qubits. The company says it plans to have a 127-qubit machine ready in 2021, a 433-qubit one available in 2022, and a computer holding a million qubits at... some unspecified point in the future.

Today's quantum computers require very delicate, ultra-cold setups and are easily knocked off course by almost any kind of atmospheric interference or noise not ideal if you're trying to crunch some numbers on the quantum level.

What having more qubits does is provide better error correction, a crucial process in any computer that makes sure calculations are accurate and reliable, and reduces the impact of interference.

The complex nature of quantum computing means error correction is more of a challenge than normal. Unfortunately, getting qubits to play nice together is incredibly difficult, which is why we're only seeing quantum computers with qubits in the 10's right now.

Around 1,000 qubits in total still wouldn't be enough to take on full-scale quantum computing challenges, but it would be enough to maintain a small number of stable, logical qubit systems that could then interact with each other.

And while it would take more like a million qubits to truly realise the potential of quantum computing, we're seeing steady progress each year from achieving quantum teleportation between computer chips, to simulating chemical reactions.

IBM hopes that by committing itself to these targets, it can better focus its quantum computing efforts, and that other companies working in the same space will know what to expect over the coming years adding a little bit of certainty to an unpredictable field.

"We've gotten to the point where there is enough aggregate investment going on, that it is really important to start having coordination mechanisms and signaling mechanisms so that we're not grossly misallocating resources and we allow everybody to do their piece," technologist Dario Gil, senior executive at IBM, told TechCrunch.

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IBM Just Committed to Having a Functioning 1,000 Qubit Quantum Computer by 2023 - ScienceAlert

The study of Quantum Computing market is a compilation of the market of Quantum Computing broken down into its entirety on the basis of types, application, trends and opportunities, mergers and acquisitions, drivers and restraints, and a global outreach.

Based on the Quantum Computing industrial chain, this report mainly elaborates the definition, types, applications and major players of Quantum Computing market in details. Deep analysis about market status (2014-2019), enterprise competition pattern, advantages and disadvantages of enterprise products, industry development trends (2019-2024), regional industrial layout characteristics and macroeconomic policies, industrial policy has also be included. From raw materials to downstream buyers of this industry will be analyzed scientifically, the feature of product circulation and sales channel will be presented as well. In a word, this report will help you to establish a panorama of industrial development and characteristics of the Quantum Computing market., The Quantum Computing market can be split based on product types, major applications, and important regions.

Download PDF Sample of Quantum Computing Market report @ https://www.arcognizance.com/enquiry-sample/739795

Major Players in Quantum Computing market are:, Intel Corporation, QxBranch, LLC, Hewlett Packard Enterprise (HP), Toshiba Corporation, Magiq Technologies Inc., Cambridge Quantum Computing Ltd, Google Inc., Accenture, University Landscape, Nippon Telegraph And Telephone Corporation (NTT), Rigetti Computing, Evolutionq Inc, D-Wave Systems Inc., 1QB Information Technologies Inc., Fujitsu, Quantum Circuits, Inc, QC Ware Corp., Station Q Microsoft Corporation, Hitachi Ltd, International Business Machines Corporation (IBM), Northrop Grumman Corporation

Major Regions that plays a vital role in Quantum Computing market are:, North America, Europe, China, Japan, Middle East & Africa, India, South America, Others

The global Quantum Computing market report is a comprehensive research that focuses on the overall consumption structure, development trends, sales models and sales of top countries in the global Quantum Computing market. The report focuses on well-known providers in the global Quantum Computing industry, market segments, competition, and the macro environment.

A holistic study of the Quantum Computing market is made by considering a variety of factors, from demographics conditions and business cycles in a particular country to market-specific microeconomic impacts. Quantum Computing industry study found the shift in market paradigms in terms of regional competitive advantage and the competitive landscape of major players.

Brief about Quantum Computing Market Report with [emailprotected]https://arcognizance.com/report/global-quantum-computing-industry-market-research-report

Most important types of Quantum Computing products covered in this report are:, Simulation, Optimization, Machine Learning

Most widely used downstream fields of Quantum Computing market covered in this report are:, Aerospace & Defence, IT and Telecommunication, Healthcare, Government, BFSI, Transportation, Others

There are 13 Chapters to thoroughly display the Quantum Computing market. This report included the analysis of market overview, market characteristics, industry chain, competition landscape, historical and future data by types, applications and regions.

Chapter 1: Quantum Computing Market Overview, Product Overview, Market Segmentation, Market Overview of Regions, Market Dynamics, Limitations, Opportunities and Industry News and Policies.

Chapter 2: Quantum Computing Industry Chain Analysis, Upstream Raw Material Suppliers, Major Players, Production Process Analysis, Cost Analysis, Market Channels and Major Downstream Buyers.

Chapter 3: Value Analysis, Production, Growth Rate and Price Analysis by Type of Quantum Computing.

Chapter 4: Downstream Characteristics, Consumption and Market Share by Application of Quantum Computing.

Chapter 5: Production Volume, Price, Gross Margin, and Revenue ($) of Quantum Computing by Regions (2014-2019).

Chapter 6: Quantum Computing Production, Consumption, Export and Import by Regions (2014-2019).

Chapter 7: Quantum Computing Market Status and SWOT Analysis by Regions.

Chapter 8: Competitive Landscape, Product Introduction, Company Profiles, Market Distribution Status by Players of Quantum Computing.

Chapter 9: Quantum Computing Market Analysis and Forecast by Type and Application (2019-2024).

Chapter 10: Market Analysis and Forecast by Regions (2019-2024).

Chapter 11: Industry Characteristics, Key Factors, New Entrants SWOT Analysis, Investment Feasibility Analysis.

Chapter 12: Market Conclusion of the Whole Report.

Chapter 13: Appendix Such as Methodology and Data Resources of This Research.

Some Point of Table of Content:

Chapter One: Quantum Computing Introduction and Market Overview

Chapter Two: Industry Chain Analysis

Chapter Three: Global Quantum Computing Market, by Type

Chapter Four: Quantum Computing Market, by Application

Chapter Five: Global Quantum Computing Production, Value ($) by Region (2014-2019)

Chapter Six: Global Quantum Computing Production, Consumption, Export, Import by Regions (2014-2019)

Chapter Seven: Global Quantum Computing Market Status and SWOT Analysis by Regions

Chapter Eight: Competitive Landscape

Chapter Nine: Global Quantum Computing Market Analysis and Forecast by Type and Application

Chapter Ten: Quantum Computing Market Analysis and Forecast by Region

Chapter Eleven: New Project Feasibility Analysis

Chapter Twelve: Research Finding and Conclusion

Chapter Thirteen: Appendix continued

List of tablesList of Tables and Figures Figure Product Picture of Quantum ComputingTable Product Specification of Quantum ComputingFigure Market Concentration Ratio and Market Maturity Analysis of Quantum ComputingFigure Global Quantum Computing Value ($) and Growth Rate from 2014-2024Table Different Types of Quantum ComputingFigure Global Quantum Computing Value ($) Segment by Type from 2014-2019Figure Simulation PictureFigure Optimization PictureFigure Machine Learning PictureTable Different Applications of Quantum ComputingFigure Global Quantum Computing Value ($) Segment by Applications from 2014-2019Figure Aerospace & Defence PictureFigure IT and Telecommunication PictureFigure Healthcare PictureFigure Government PictureFigure BFSI PictureFigure Transportation PictureFigure Others PictureTable Research Regions of Quantum ComputingFigure North America Quantum Computing Production Value ($) and Growth Rate (2014-2019)Figure Europe Quantum Computing Production Value ($) and Growth Rate (2014-2019)Table China Quantum Computing Production Value ($) and Growth Rate (2014-2019)Table Japan Quantum Computing Production Value ($) and Growth Rate (2014-2019)continued

If you have any special requirements, please let us know and we will offer you the report as you want.

About Us:Analytical Research Cognizance (ARC)is a trusted hub for research reports that critically renders accurate and statistical data for your business growth. Our extensive database of examined market reports places us amongst the best industry report firms. Our professionally equipped team further strengthens ARCs potential.ARC works with the mission of creating a platform where marketers can have access to informative, latest and well researched reports. To achieve this aim our experts tactically scrutinize every report that comes under their eye.

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NOTE: Our report does take into account the impact of coronavirus pandemic and dedicates qualitative as well as quantitative sections of information within the report that emphasizes the impact of COVID-19.

As this pandemic is ongoing and leading to dynamic shifts in stocks and businesses worldwide, we take into account the current condition and forecast the market data taking into consideration the micro and macroeconomic factors that will be affected by the pandemic.

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Impact Of COVID-19 On Quantum Computing Market 2020 Industry Challenges, Business Overview And Forecast Research Study 2026 - The Daily Chronicle

What areas are covered? Theres Nexperia LED drivers, Fujitsu quantum computing, STs acquisition of SOMOS Semiconductor, Chinas share of the foundry market and the issue of Arm being legally required to hire more staff

5. Nexperia launches LED drivers in compact packageNexperia has brought out a range of LED drivers in the DFN2020D-6 (SOT1118D) package. This case style features side-wettable flanks (SWF) which facilitate the use of AOI (automated optical inspection), and improve reliability. This is the first time LED drivers have been available in this package. The leadless devices join Nexperias wide range of LED drivers in leaded packages offering equivalent performance yet reducing PCB space by up to 90% compared to SOT223.

4. Fujitsu collaborates to make practical quantum computing a realityFujitsu has joined with Riken and the universities of Tokyo, Osaka and Delft to make practical quantum computing a reality. The collaboration aims to achieve comprehensive and efficient advances in quantum computing by applying quantum computing to various fields currently facing problems that are extremely difficult to solve. Currently, even using superconducting chips which are leading the way in quantum computing, systems remain limited to about 50-qubits, making it hard to perform useful calculations.

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Most Read articles - LED drivers, Foundry market, Arm staffing - Electronics Weekly