ASC20 Finals to be Held in Shenzhen, Tasks Include Quantum Computing Simulation and AI Language Exam – Yahoo Finance

The 2020 ASC Student Supercomputer Challenge (ASC20) announced the tasks for the new season: using supercomputers to simulate Quantum circuit and training AI models to take English test. These tasks can be unprecedented challenges for the 300+ ASC teams from around the world. From April 25 to 29, 2020, top 20 finalists will fiercely compete at SUSTech in Shenzhen, China.

ASC20 set up Quantum Computing tasks for the first time. Teams are going to use the QuEST (Quantum Exact Simulation Toolkit) running on supercomputers to simulate 30 qubits in two cases: quantum random circuits (random.c), and quantum fast Fourier transform circuits (GHZ_QFT.c). Quantum computing is a disruptive technology, considered to be the next generation high performance computing. However the R&D of quantum computers is lagging behind due to the unique properties of quantum. It adds extra difficulties for scientists to use real quantum computers to solve some of the most pressing problems such as particle physics modeling, cryptography, genetic engineering, and quantum machine learning. From this perspective, the quantum computing task presented in the ASC20 challenge, hopefully, will inspire new algorithms and architectures in this field.

The other task revealed is Language Exam Challenge. Teams will take on the challenge to train AI models on an English Cloze Test dataset, vying to achieve the highest "test scores". The dataset covers multiple levels of English language tests in China, including the college entrance examination, College English Test Band 4 and Band 6, and others. Teaching the machines to understand human language is one of the most elusive and long-standing challenges in the field of AI. The ASC20 AI task signifies such a challenge, by using human-oriented problems to evaluate the performance of neural networks.

Wang Endong, ASC Challenge initiator, member of the Chinese Academy of Engineering and Chief Scientist at Inspur Group, said that through these tasks, students from all over the world get to access and learn the most cutting-edge computing technologies. ASC strives to foster supercomputing & AI talents of global vision, inspiring technical innovation.

Dr. Lu Chun, Vice President of SUSTech - host of the ASC20 Finals, commented that supercomputers are important infrastructure for scientific innovation and economic development. SUSTech makes focused efforts on developing supercomputing and hosting ASC20, hoping to drive the training of supercomputing talent, international exchange and cooperation, as well as inter discipline development at SUSTech.

Furthermore, during January 15-16, 2020, the ASC20 organizing committee held a competition training camp in Beijing to help student teams prepare for the ongoing competition. HPC and AI experts from the State Key Laboratory of High-end Server and Storage Technology, Inspur, Intel, NVIDIA, Mellanox, Peng Cheng Laboratory and the Institute of Acoustics of the Chinese Academy of Sciences gathered to provide on-site coaching and guidance. Previous ASC winning teams also shared their successful experiences.

About ASC

The ASC Student Supercomputer Challenge is the worlds largest student supercomputer competition, sponsored and organized by Asia Supercomputer Community in China and supported by Asian, European, and American experts and institutions. The main objectives of ASC are to encourage exchange and training of young supercomputing talent from different countries, improve supercomputing applications and R&D capacity, boost the development of supercomputing, and promote technical and industrial innovation. The annual ASC Supercomputer Challenge was first held in 2012 and has since attracted over 8,500 undergraduates from all over the world. Learn more ASC at https://www.asc-events.org/.

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ASC20 Finals to be Held in Shenzhen, Tasks Include Quantum Computing Simulation and AI Language Exam - Yahoo Finance

Toshiba says it created an algorithm that beats quantum computers using standard hardware – TechSpot

Something to look forward to: Some of the biggest problems that need solving in the enterprise world require sifting through vast amounts of data and finding the best possible solution given a number of factors and requirements, some of which are at times unknown. For years, quantum computing has been touted as the most promising jump in computational speed for certain kind of problems, but Toshiba says revisiting classical algorithms helped it develop a new one that can leverage existing silicon-based hardware to get a faster result.

Toshiba's announcement this week claims a new algorithm it's been perfecting for years is capable of analyzing market data much more quickly and efficiently than those used in some of the world's fastest supercomputers.

The algorithm is called the "Simulated Bifurcation Algorithm," and is supposedly good enough to be used in finding accurate approximate solutions for large-scale combinatorial optimization problems. In simpler terms, it can come up with a solution out of many possible ones for a particularly complex problem.

According to its inventor, Hayato Goto, it draws inspiration from the way quantum computers can efficiently comb through many possibilities. Work on SBA started in 2015, and Goto noticed that adding new inputs to a complex system with 100,000 variables makes it easy to solve it in a matter of seconds with a relatively small computational cost.

This essentially means that Toshiba's new algorithm could be used on standard desktop computers. To give you an idea how important this development is, Toshiba demonstrated last year that SBA can get highly accurate solutions for an optimization problem with 2,000 connected variables in 50 microseconds, or 10 times faster than laser-based quantum computers.

SBA is also highly scalable, meaning it can be made to work on clusters of CPUs or FPGAs, all thanks to the contributions of Kosuke Tatsumura, another one of Toshiba's senior researchers that specializes in semiconductors.

Companies like Microsoft, Google, IBM, and many others are racing to be the first with a truly viable quantum commercial system, but so far their approaches have produced limited results that live inside their labs.

Meanwhile, scientists like Goto and Kosuke are going back to the roots by exploring ways to improve on classical algorithms. Toshiba hopes to use SBA to optimize financial operations like currency trading and rapid-fire portfolio adjustments, but this could very well be used to calculate efficient routes for delivery services and molecular precision drug development.

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Toshiba says it created an algorithm that beats quantum computers using standard hardware - TechSpot

Xanadu Receives $4.4M Investment from SDTC to Advance its Photonic Quantum Computing Technology – Quantaneo, the Quantum Computing Source

Xanadu, a Canadian quantum hardware and technology company has received a $4.4M investment from Sustainable Development Technology Canada (SDTC). The investment will expedite the development of Xanadu's photonic quantum computers and make them available over the cloud. This project will also further the company's overall progress towards the construction of energy-efficient universal quantum computers.

"Canadian cleantech entrepreneurs are tackling problems across Canada and in every sector. I have never been more positive about the future. The quantum hardware technology that Xanadu is building will develop quantum computers with the ability to solve extremely challenging computational problems, completing chemical calculations in minutes which would otherwise require a million CPUs in a data center," said Leah Lawrence, President and CEO, Sustainable Development Technology Canada.

Despite efforts to improve the power efficiency of traditional computing methods, the rapid growth of data centres and cloud computing presents a major source of new electricity consumption. In comparison to classical computing, quantum computing systems have the benefit of performing certain tasks and algorithms at an unprecedented rate. This will ultimately reduce the requirements for electrical power and the accompanying air and water emissions associated with electricity production.

Xanadu is developing a unique type of quantum computer, based on photonic technology, which is inherently more power-efficient than electronics. Xanadu's photonic approach uses laser light to carry information through optical chips, rather than the electrons or ions used by their competitors. By using photonic technology, Xanadu's quantum computers will one day have the ability to perform calculations at room temperature, and eliminate the bulky and power-hungry cooling systems required by most other types of quantum computers.

The project will be undertaken by Xanadu's team of in-house scientists, with collaboration from the University of Toronto and Swiftride. The project will be carried out over three years and will encompass the development of Xanadu's architecture, hardware, software and client interfaces with the overall goal of expediting the development of the company's technology, and demonstrating the practical benefits of quantum computing for users and customers by the end of 2022.

"We are thrilled by the recognition and support that we are receiving from SDTC for the development of our technology. We firmly believe that our unique, photonic-based approach to quantum computing will deliver both valuable insights and tangible environmental benefits for our customers and partners," said Christian Weedbrook, CEO of Xanadu.

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Xanadu Receives $4.4M Investment from SDTC to Advance its Photonic Quantum Computing Technology - Quantaneo, the Quantum Computing Source

Quantum Computing Inc. Releases Its First Quantum Ready Software Product QAA The Quantum Asset Allocator to Optimize Portfolio Returns – Quantaneo,…

The target market (estimated at over $1 billion) for QAA is financial institutions who are currently addressing asset allocation problems but are looking for better tools with which to optimize portfolio performance. QAA is available both as a cloud based software service and as an on premises software + hardware system. Both implementations are designed to quickly return optimal or near-optimal interactive solutions and analyses of financial asset allocation problems. QAA leverages a financial institutions strategy for calculating risk and expected return, based on analytical values for the various index sectors and subsectors in its investable universe. QAA has been proven to enhance fund strategy by calculating the optimal portfolio mix to maximize returns in beta tests against portfolios using traditional portfolio management techniques. This is a major breakthrough for QCI, stated Robert Liscouski, CEO of Quantum Computing Inc. We are excited to be releasing QAA which will provide small and medium sized funds the ability to do asset allocation that previously was the province of large brokerage firms, mutual fund and the largest quant funds. Beta tests have demonstrated superior portfolio performance using quantum inspired techniques on both classical and existing quantum computing hardware, he added. Liscouski stated that QCI is already working with beta clients to implement QAA in their environment.

QCI develops and sells quantum-ready software solutions for clients who have problems that can be solved using quantum techniques to provide superior results on classical computers today. Our software is designed to also run on quantum computers when they deliver performance faster than classical computers, stated Steve Reinhardt, VP of Product Development at QCI. This is the launch of our first of a series of products that will leverage quantum techniques to provide differentiated performance on both classical computers and on a variety of early-stage quantum computers such as DWave and other annealers, which are on the market today. Our applications are designed to be deployed on a clients infrastructure on premises or in the AWS cloud, he added. Mark Wainger, Director of Application Development stated, Asset allocation is well known for being a complex calculation, with several types of constraints making it an NP-hard problem. QCIs Quantum Asset Allocator has been tested and proven to provide superior results for portfolio management and we are excited to be working with our first clients.

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Quantum Computing Inc. Releases Its First Quantum Ready Software Product QAA The Quantum Asset Allocator to Optimize Portfolio Returns - Quantaneo,...

Quantum Computing market 2019 |global industry analysis by trends, size, share, company overview, growth and forecast by 2024 | latest research report…

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Quantum Computing market 2019 |global industry analysis by trends, size, share, company overview, growth and forecast by 2024 | latest research report...

U of T’s Peter Wittek, who will be remembered at Feb. 3 event, on why the future is quantum – News@UofT

In September of 2019, Peter Wittek, an assistant professor at the University of Toronto, went missing during a mountaineering expedition in the Himalayas after reportedly being caught in an avalanche. A search and rescue mission was launched but the conditions were very difficult and Wittek was not found.

Peters loss is keenly felt, said Professor Ken Corts, acting dean of the Rotman School of Management. He was the Founding Academic Director of the CDL Quantum Stream, a valued instructor in the MMA program, data scientist in residence with the TD Management Data and Analytics Lab, an exceptional contributor to Rotman and U of T and a wonderful colleague.

A ceremony to remember Wittek will take place on Feb. 3 from 3 to 4:30 pm in Desautels Hall at the Rotman School of Management.

Quantum computing and quantum machine learning an emerging field that counted Wittek as one of its few experts was the topic of his final interview inRotman Management Magazine. It is reprinted below:

You oversee the Creative Destruction Labs Quantum stream, which seeks entrepreneurs pursuing commercial opportunities at the intersection of quantum computing and machine learning. What do those opportunities look like?

Weve been running this stream for three years now, and we were definitely the first to do this in an organized way. However, the focus has shifted slightly. We are now interested in looking at any application of quantum computing.

These are still very early days for quantum computing. To give you a sense of where we are at, some people say its like the state of digital computing in the 1950s, but Id say its more like the 1930s. We dont even agree yet on what the architecture should look likeand, as a result, we are very limited with respect to the kind of applications we can build.

As a result, focusing on quantum is still quite risky. Nevertheless, so far we have had 45 companies complete our program. Not all of them survived, but a good dozen of them have raised funding. If you look at the general survival rate for AI start-ups, our record is roughly the same and given how new this technology is, that is pretty amazing.

What are the successful start-ups doing? Can you give an example of the type of problems theyre looking to solve?

At the moment I would say the main application areas are logistics and supply chain. Another promising area is life sciences, where all sorts of things can be optimized with this technology. For instance, one of our companies,Protein-Qure, is folding proteins with quantum computers.

Finance is another attractive area for these applications. In the last cohort we had a company that figured out a small niche problem where they had both the data and the expertise to provide something new and innovative; they are in the process of raising money right now. The other area where quantum makes a lot of sense is in material discovery. The reason we ever even thought of building these computers was to understand quantum materials, back in the 1980s. Today, one of our companies is figuring out how to discover new materials using quantum processing units instead of traditional supercomputers.

We have a company calledAgnostic, which is doing encryption and obfuscation for quantum computers. Right nowIBM,Rigetti ComputingandD-Wave Systemsare building quantum computers for individual users. They have access to everything that you do on the computer and can see all the data that youre sending. But if youre building a commercial application, obviously you will want tohide that. Agnostic addresses this problem by obfuscating the code you are running. One application weve seen in the life sciences is a company calledEigenMed, which addresses primary care. They provide novel machine learning algorithms for primary care by using quantum-enhanced sampling algorithms.

We also seed companies that dont end up using quantum computing. They might try out a bunch of things and discover that it doesnt work for the application they have in mind, and they end up being 100 per cent classical.StratumAIis an example of this. It uses machine learning to map out the distribution of ore bodies under the ground. The mining industry is completely underserved by technology, and this company figured out thatto beat the state-of-the-art by a significant margin, it didnt even need quantum. They just used classical machine learning and they already have million dollar contracts.

Which industries will be most affected by this technology?

Life sciences will be huge because, as indicated, it often has complex networks and probability distributions, and these are very difficult to analyze with classical computers. The way quantum computers work, this seems to be a very good fit, so that is where I expect the first killer app to come from. One company,Entropica Labs, is looking at various interactions of several genomes to identify how the combined effects cause certain types of disease. This is exactly the sort of problem that is a great fit for a quantum computer.

You touched on quantum applications in primary care. If I walked into a doctors office, how would that affect me?

Its trickybecause, like mining, primary care is vastly underserved by technology. So, if you were to use any machine learning, you would only do better. But EigenMed was actually founded by an MD. He realized that there are certain machine learning methods that we dont use simply because their computational requirements are too high but that they happen to be a very good fit for primary care, because the questions you can ask the computer are similar to what a GP would ask.

For instance, if a patient walks in with a bunch of symptoms, you can ask, What is the most likely disease? and What are the most likely other symptoms that I should verify to make sure it is what I suspect? These are the kinds of probabilistic questions that are hard to ask on current neural network architectures, but they are exactly the kind of questions that probabilistic graphical models handle well.

Are physicians and other health-care providers open to embracing this technology, or do they feel threatened by it?

First of all, health care is a heavily regulated market, so you need approval for everything. Thats not always easy to getand, as a result, it can be very difficult to obtain data. This is the same problem that any machine learning company faces. Fine, they have this excellent piece of technology and theyve mastered it,but if you dont have any good data, you dont have a company. I see that as the biggest obstacle to machine learning-based progress in health care and life sciences.

You have said that QML has the potential to bring about the next wave of technology shock. Any predictions as to what that might look like?

I think its going to be similar to what happened with deep learning. The academic breakthrough happened about nine years ago, but it took a long time to get into the public discussion. This is currently happening with AI which, at its core, is actually just very simple pattern recognition. Its almost embarrassing how simplistic AI is and yet it is already changing entire industries.

Quantum is next not just quantum machine learning but quantum computing in general. Breakthroughs are happening every day, both on the hardware side and in the kind of algorithms you can build with quantum computers. But its going to take another 10 years until it gets into public discussions and starts to disrupt industries. The companies we are seeding today are going to be the ones that eventually disrupt industries.

Alibaba is one of the companies at the forefront of embracing quantum, having already committed $15 billion to it. What is Alibaba after?

First of all, I want to say a huge thank you toAlibaba becausethe moment it made that commitment, everyone woke up and said, Hey, look: the Chinese are getting into quantum computing! Almost immediately, the U.S. government allocated $1.3 billion to invest in and develop quantum computers, and a new initiative is also coming together in Canada.

The worlds oldest commercial quantum computing company is actually from Canada:D-Wave Systemsstarted in 1999 in British Columbia. Over its 20-year history, it managed to raise over $200 million. Then Alibaba came along and announced it was committing $15 billion to quantumand this completely changed the mindset. People suddenly recognized that theres a lot of potential in this area.

What does Alibaba want from quantum? You could ask the same question ofGoogle, which is also building a quantum computer. For them, its because they want to make their search and advertisement placement even better than it already is. Eventually, this will be integrated into their core business. I think Alibaba is looking to do something similar. As indicated, one of the main application areas for quantum is logistics and supply chain. Alibaba has a lot more traffic thanAmazon. Its orders are smaller, but the volume of goods going through its warehouses is actually much larger. Any kind of improved optimization it can achieve will translate into millions of dollars in savings. My bet is that Alibabas use of quantum will be applied to something that is critical to its core operation.

The mission of CDLs Quantum stream is that, by 2022, it will have produced more revenue-generating quantum software companies than the rest of the world combined. What is the biggest challenge you face in making that a reality?

People are really waking up to all of this. There is already a venture capital firm that focuses exclusively on quantum technologies. So, the competition is steep, but we are definitely leading in terms of the number of companies created. In Canada, the investment community is a bit slow to put money into these ventures. But every year we are recruiting better and better people and the cohorts are more and more focused and, as a result, I think we are going to see more and more success stories.

It seems like everyone is interested in quantum andthey are thinking about investing in it, but they are all waiting for somebody else to make the first move. Im waiting for that barrier to break and, in the meantime, we are making progress.Xanadujust raised $32 million in Series A financing, which indicates that it has shown progress in building its business model and demonstrated the potential to grow and generate revenue. ProteinQure raised a seed of around $4 million dollars. And another company,BlackBrane, raised $2 million. So, already, there are some very decent financing rounds happening around quantum. It will take lots of hard work, but I believe we will reach our goal.

Peter Wittekwas an Assistant Professor at the Rotman School of Management and Founding Academic Director of the Creative Destruction Labs Quantum stream. The author ofQuantum Machine Learning: What Quantum Computing Means to Data Mining(Academic Press, 2016),he was also a Faculty Affiliate at the Vector Institute for Artificial Intelligence and the Perimeter Institute for Theoretical Physics.

This article appeared in theWinter 2020 issueof Rotman ManagementMagazine.Published by the University of Torontos Rotman School of Management,Rotman Managementexplores themes of interest to leaders, innovators and entrepreneurs.

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U of T's Peter Wittek, who will be remembered at Feb. 3 event, on why the future is quantum - News@UofT

The Quantum Computing Era Is Here. Why It MattersAnd How It May Change Our World. – Forbes

IBM Q System One

Hyper-accurate long-term weather forecasting. Life-saving drugs discovered through deep study of the behavior of complex molecules. New synthetic carbon-capturing materials to help reverse climate change caused by fossil fuels. Stable, long-lasting batteries to power electric vehicles and store green energy for the utility grid.

It may read like an ambitious wish list. But many scientists predict that the emerging era of quantum computing could lead to breakthroughs like these, while also tackling other major problems that are beyond reach of our current computing regime.

Quantum computing is not a new idea. But its only been in recent years that workable technology has begun to catch up to the theory.

IBM in 2016 made a quantum computer available to the public by connecting it to the clouda true turning point in the development of this technology by enabling outside researchers and developers to explore its possibilities. And the industry took a major stride in September 2019 with the opening of IBMs Quantum Computation Center. That fleet of 15 systems includes the most advanced quantum computer yet available for external use.

Scientists are tantalized by the possibilities. One analyst predicted quantum will be as world altering in the 2020s as the smartphone was in the decade just ended.

The Quantum Computation Center offers about 100 IBM clients, academic institutions and more than 200,000 registered users access to this cutting-edge technology through a collaborative effort called the IBM Q Network and the rapidly growing community around Qiskit, IBMs open-source development platform for quantum computing. Through these efforts, IBM and others are exploring the ways quantum computing can address their most complicated problems, while training a workforce to use this technology.

Facilitating education and developing the next-generation workforce is a big focus for IBM. That includes spurring access to Qiskit and educational tools like the Coding With Qiskit video series that has generated more than 1.5 million impressions and over 10,000 hours of content consumed by users.The company has also released an open source textbook written by experts in the field, including several from IBM Research, as well as professors who have used some of the material in their own university courses.

Q Network partners include ExxonMobil, Daimler, JPMorgan Chase, Anthem, Delta Airlines, Los Alamos National Laboratory, Oak Ridge National Laboratory, Georgia Tech University, Keio University, Stanford Universitys Q-Farm program and Mitsubishi Chemical among dozens of others.

Last year IBM announced partnerships with the University of Tokyo and the German research company Fraunhofer-Gesellschaft, which will greatly expand the companys already broad network of quantum researchers globally. The history of computing tells us that creative people around the world will find uses for these systems that no one could have predicted.

Katie Pizzolato

At this stage, its difficult to predict what kind of impact quantum will have on employment or the economy. But the research firm Gartner projects that, by 2023, 20 percent of organizations will be budgeting for QC projects, up from less than 1 percent in 2018.*

How do we get to the quantum future? asks Katie Pizzolato, Director of Applications Research within the IBM Q Network. By building the most advanced quantum systems and a developmental platform and making it available to the world.

How does quantum differ from classical digital computing? Conventional computers use transistors that can only store information in two electrical statesOn or Offwhich binary computer code represents as 1 or 0. These are the binary digits, or bits, of classical computing.

Quantum computing is an altogether different beast. It derives its origins from the field of quantum physics, which emerged in the early 20th century when scientists began studying the behavior of subatomic particles.

What they discovered shocked many of them. Simply put, subatomic particles can exist in two places, or two states, at the same time, defying previously accepted laws of the physical world. The term for this is superposition. Researchers also discovered that particles separated by distances are able to share information instantaneously, faster than the speed of light. This is called entanglement.

If this sounds strange and implausible, thats because it is. Niels Bohr, one of the scientists who pioneered the field of quantum mechanics, quipped that anyone who is not shocked by quantum theory doesn't understand it.

This subatomic reality has profound implications for computing. The binary bits used by conventional computersthose 0s and 1slimit the kind of task classical computers can perform, and the speed at which they can do those tasks.

Qubits are the basis for quantum computers. They transcend this 1 or 0 binary limitation. Unlike bits, qubits can exist in multiple states simultaneously. This gives them the potential to processexponential amounts ofinformation.

A quantum machine with just a couple of qubits can process only about as much information as a classical 512-bit computer. But because of the exponential nature of the platform, the dynamic changes very quickly. Assuming perfect stability, 300 qubits could represent more data values than there are atoms in the observable universe. This opens the opportunity to solve highly complex problems that are well beyond the reach of any classical computer.

Dario Gil

A beauty of quantum computers is that they will offer a more subtle way of thinking about problems that goes beyond binarythat goes beyond simple 0 or 1, Yes or No, True or False, says Dario Gil, the Director of IBM Research. That doesnt mean there wont be specific answers in the end. But quantum computing will make it possible to confront many of the worlds most complex problems that are beyond the ability of classical binary computing to quickly solve.

What can quantum computing do for us?

Quantum computers will be orders of magnitude more powerful than anything we have today. But what problems will they solve? What are scientists doing with them now?

Its generally agreed that most important quantum applications are years away. But researchers say some promising applications stand out:

Climate change

Quantum computing could lead to a novel yet ambitious plan to reverse the negative impacts of climate change, by helping find efficient ways to remove carbon from the atmosphere.

To do that, scientists require a better understanding of the carbon atom and how it interacts with other elements. Researchers need to be able to observe and model the way each carbon atoms eight orbiting electrons might interact with the electrons of an almost infinite variety of other molecules, until researchers find the combination that can best bind the carbon.

Batteries to store more electricity for clean-energy uses

One fundamental building block of our clean-energy future will be batteries. Todays batteries lose power too quickly.They also cant hold enough charge to meet increasing demands. And at times, theyre unstable. Todays most-used battery type, lithium-ion, is dependent on cobalt, a metal whose global supplies are dwindling.

Well need better batteries for applications like powering electric vehicles. Utility companies will need them to store solar and wind energy, for example, for use when the sun isnt shining or the wind isnt blowing.

We need to find a fundamentally different chemistry to create the batteries of the future, Pizzolato says. Quantum computing could let us effectively peer inside the batteries chemical reactions, to better understand the materials and reactions that will give the world those better batteries.

New insights into chemistry

Learning more about chemical reactions on the atomic level could also lead to breakthroughs in pharmaceuticals, or materials like energy-efficient fertilizer (currently a massively energy-intensive endeavor, and a major contributor to carbon emissions).

The catalysts that spark these sorts of discoveries are the essence of nearly all progress in chemistry. But because of the infinitely complex ways in which atoms interact with each other, almost all chemistry breakthroughs have come about through accident, intuition or exhausting numbers of experiments. Quantum computing could make this work faster and more methodical, leading to new discoveries in medicine, energy, materials and other fields.

Portfolio management

Its no surprise that that financial institutions are exploring the use of quantum to balance portfolios and pricing options, the instruments used for hedging risk. Because of the complexity of processing a large number of continually changing variables it often takes a full day to come to a correct price.

Quantum promises to make such calculations in a matter of minutes, meaning these derivatives could be bought and sold in near real time. Some banks, like JPMorgan Chase, are already testing quantum computing for this very purpose.

For consumers, whether saving for a home, nurturing a college-savings plan, or building assets for a secure retirement, the peace-of-mind benefits of lower-risk and higher-profit financial products could be significant.

Encryption

Cryptography is a field that has attracted considerable attention in the quantum conversation. So far, much of the discussion has involved the perceived perils of a new class or code breakers. But the counter argumentnew types of more secure data privacy systemscould prove just as compelling.

Either way, true breakthroughs are probably not coming soon.

The most sophisticated data security software now uses complex algorithms to generate passwords that would take classical computers a long time to break. Quantum threatens to completely overturn this paradigm, making current encryption effectively useless. A quantum computer algorithm created a quarter-century ago, called Shors algorithm, could theoretically crack even the most powerful of todays forms of encryption. But Shors algorithm would require fault-tolerant quantum computers that dont yet exist and might still be many years away.

Still, the possibility that current cybersecurity standards could be made obsolete has drawn the attention of governments. The National Institute of Standards and Technology, for example, has a competition to develop new encryption tools resistant to the potential danger.

What Must Happen To Fulfill Quantums Promise?

Despite the flurry of activity and rapidly growing interest in quantum computing, major breakthroughs with real-world applications are probably years away.

One reason is the fickleness of subatomic matter. Qubits are extremely delicate, and even a small disturbance knocks particles out of quantum state. Thats why quantum computers are kept at temperatures slightly above absolute zero, colder than outer space, since matter becomes effectively more stable the colder it gets. Even at that temperature, qubit particles typically remain in superposition for only fractions of a second.

Figuring out how to keep qubits in a prolonged state of superpostition is a major challenge that scientists still need to overcome.

A next major benchmark, Pizzolato says, will be the successful implementation of logical qubits that can maintain a quantum state longer than is now technologically possible. Logical qubits are necessary for fault-tolerancethe true test of quantum computings utility. Like others at IBM, Pizzolato is reluctant to predict a timeline but says the logical qubit is likely to arrive sometime in the next decade.

Another open question is economic: How will the arrival of the Quantum Age impact the number, categories and quality of jobs in the decades to come? Its difficult to say right now how big an industry quantum computing will eventually be. But currently, a major skills gap has left nearly every quantum organization struggling to find qualified recruits.

The National Quantum Initiative, signed into law in early 2019, is meant to provide federal funds to bridge this skills gap. But practical training of the sort made possible by the IBM Q Network will be crucial to a long-term solution.

While the quantum era may develop slowly, its worth remembering that the Internetor an early version of itwas around for decades before it was established as the truly revolutionary force it would become. But like the Internet, the work researchers are doing now on quantum computing lead to a world we cant now imagine.

Only by doing the hard work on quantum computing that we and our partners around the world are doing now, says Pizzolato, can we hope to solve the big global problems that well be facing together in the years ahead.

*Gartner, Top 10 Strategic Technology Trends for 2019: Quantum Computing, March 2019

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The Quantum Computing Era Is Here. Why It MattersAnd How It May Change Our World. - Forbes

AlphaZero beat humans at Chess and StarCraft, now it’s working with quantum computers – The Next Web

A team of researchers from Aarhus University in Denmark let DeepMinds AlphaZero algorithm loose on a few quantum computing optimization problems and, much to everyones surprise, the AI was able to solve the problems without any outside expert knowledge. Not bad for a machine learning paradigm designed to win at games like Chess and StarCraft.

Youve probably heard of DeepMind and its AI systems. The UK-based Google sister-company is responsible for both AlphaZero and AlphaGo, the systems that beat the worlds most skilled humans at the games of Chess and Go. In essence, what both systems do is try to figure out what the optimal next set of moves is. Where humans can only think so many moves ahead, the AI can look a bit further using optimized search and planning methods.

Related:DeepMinds AlphaZero AI is the new champion in chess, shogi, and Go

When the Aarhus team applied AlphaZeros optimization abilities to a trio of problems associated with optimizing quantum functions an open problem for the quantum computing world they learned that its ability to learn new parameters unsupervised transferred over from games to applications quite well.

Per the study:

AlphaZero employs a deep neural network in conjunction with deep lookahead in a guided tree search, which allows for predictive hidden-variable approximation of the quantum parameter landscape. To emphasize transferability, we apply and benchmark the algorithm on three classes of control problems using only a single common set of algorithmic hyperparameters.

The implications for AlphaZeros mastery over the quantum universe could be huge. Controlling a quantum computer requires an AI solution because operations at the quantum level quickly become incalculable by humans. The AI can find optimum paths between data clusters in order to emerge better solutions in tandem with computer processors. It works a lot like human heuristics, just scaled to the nth degree.

An example of this would be an algorithm that helps a quantum computer sort through near-infinite combinations of molecules to come up with chemical compounds that would be useful in the treatment of certain illnesses. The current paradigm would involve developing an algorithm that relies on human expertise and databases with previous findings to point it in the right direction.

But the kind of problems were looking at quantum computers to solve dont always have a good starting point. Some of these, optimization problems like the Traveling Salesman Problem, need an algorithm thats capable of figuring things out without the need for constant adjustment by developers.

DeepMinds algorithm and AI system may be the solution quantum computings been waiting for. The researchers effectively employ AlphaZero as a Tabula Rasa for quantum optimization: It doesnt necessarily need human expertise to find the optimum solution to a problem at the quantum computing level.

Before we start getting too concerned about unsupervised AI accessing quantum computers, its worth mentioning that so far AlphaZeros just solved a few problems in order to prove a concept. We know the algorithms can handle quantum optimization, now its time to figure out what we can do with it.

The researchers have already received interest from big tech and other academic institutions with queries related to collaborating on future research. Not for nothing, but DeepMinds sister-company Google has a little quantum computing program of its own. Were betting this isnt the last weve heard of AlphaZeros adventures in the quantum computing world.

Read next: Cyberpunk 2077 has been delayed to September (thank goodness)

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AlphaZero beat humans at Chess and StarCraft, now it's working with quantum computers - The Next Web

Xanadu Receives $4.4M Investment to Advance its Photonic Quantum Computing Technology – HPCwire

TORONTO,Jan. 16, 2020 Xanadu, a Canadian quantum hardware and technology company has received a$4.4 millioninvestment from Sustainable Development Technology Canada (SDTC). The investment will expedite the development of Xanadus photonic quantum computers and make them available over the cloud. This project will also further the companys overall progress towards the construction of energy-efficient universal quantum computers.

Canadian cleantech entrepreneurs are tackling problems acrossCanadaand in every sector. I have never been more positive about the future. The quantum hardware technology that Xanadu is building will develop quantum computers with the ability to solve extremely challenging computational problems, completing chemical calculations in minutes which would otherwise require a million CPUs in a data center, saidLeah Lawrence, President and CEO, Sustainable Development Technology Canada.

Despite efforts to improve the power efficiency of traditional computing methods, the rapid growth of data centres and cloud computing presents a major source of new electricity consumption. In comparison to classical computing, quantum computing systems have the benefit of performing certain tasks and algorithms at an unprecedented rate. This will ultimately reduce the requirements for electrical power and the accompanying air and water emissions associated with electricity production.

Xanadu is developing a unique type of quantum computer, based on photonic technology, which is inherently more power-efficient than electronics. Xanadus photonic approach uses laser light to carry information through optical chips, rather than the electrons or ions used by their competitors. By using photonic technology, Xanadus quantum computers will one day have the ability to perform calculations at room temperature, and eliminate the bulky and power-hungry cooling systems required by most other types of quantum computers.

The project will be undertaken by Xanadus team of in-house scientists, with collaboration from theUniversity of Torontoand Swiftride. The project will be carried out over three years and will encompass the development of Xanadus architecture, hardware, software and client interfaces with the overall goal of expediting the development of the companys technology, and demonstrating the practical benefits of quantum computing for users and customers by the end of 2022.

We are thrilled by the recognition and support that we are receiving from SDTC for the development of our technology. We firmly believe that our unique, photonic-based approach to quantum computing will deliver both valuable insights and tangible environmental benefits for our customers and partners, said Christian Weedbrook, CEO of Xanadu.

About Xanadu

Xanadu is a photonic quantum hardware company. We build integrated photonic chips that can be used in quantum computing, communication and sensing systems. The companys mission is to build quantum computers that are useful and available to people everywhere, visit http://www.xanadu.aior follow us on Twitter@XanaduAI.

About SDTC

Sustainable Development Technology Canada (SDTC) is a foundation created by the Government ofCanadato advance clean technology innovation inCanada by funding and supporting small and medium-sized enterprises developing and demonstrating clean technology solutions. Follow Sustainable Development Technology Canada on Twitter: @SDTC

Source: Xanadu

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Xanadu Receives $4.4M Investment to Advance its Photonic Quantum Computing Technology - HPCwire

Alibaba’s 10 Tech Trends to Watch in… – Alizila

The Alibaba DAMO Academy, Alibaba Groups global program for tackling ambitious, high-impact technology research, has made some predictions about the trends that will shape the industry in the year ahead. From more-advanced artificial intelligence to large-scale blockchain applications, heres what you can expect in 2020.

1. Artificial Intelligence Gets More Human2020 is set to be a breakthrough year for AI, according to DAMO. Researchers will be taking inspiration from a host of new areas to upgrade the technology, namely cognitive psychology and neuroscience combined with insights into human behavior and history. Theyll also adopt new machine-learning techniques, such as continual learning, which allows machines to remember what theyve learned in order to more quickly learn new things something humans take for granted. With these advances in cognitive intelligence, machines will be able to better understand and make use of knowledge rather than merely perceive and express information.

2. The Next Generation of ComputationComputers these days send information back and forth between the processor and the memory in order to complete tasks. The problem? Computing demands have grown to such an extent in the digital age that our computers cant keep up. Enter processing-in-memory architecture, which integrates the processor and memory into a single chip for faster processing speed. PIM innovations will play a critical role in spurring next-generation AI, DAMO said.

3. Hyper-Connected ManufacturingThe rapid deployment of 5G, Internet of Things and cloud- and edge-computing applications will help manufacturers go digital, including everything from automating equipment, logistics and production scheduling to integrating their factory, IT and communications systems. In turn, DAMO predicts theyll be faster to react to changes in demand and coordinate with suppliers in real time to help productivity and profitability.

WATCH: An Inside Look at Cainiaos Hyperconnected Warehouse

4. Machines Talking to Machines at ScaleMore-advanced IoT and 5G will enable more large-scale deployments of connected devices, which brings with them a range of benefits for governments, companies and consumers. For example, traffic-signal systems could be optimized in real time to keep drivers moving (and happy), while driverless cars could access roadside sensors to better navigate their surroundings. These technologies would also allow warehouse robots to maneuver around obstacles and sort parcels, and fleets of drones to efficiently and securely make last-mile deliveries.

5. Chip Design Gets EasierHave you heard? Moores Law is dying. It is now becoming too expensive to build faster and smaller semiconductors. In its place, chipmakers are now piecing together smaller chiplets into single wafers to handle more-demanding tasks. Think Legos. Another advantage of chiplets is that they often use already-inspected silicon, speeding up time to market. Barriers to entry in chipmaking are dropping, too, as open-source communities provide alternatives to traditional, proprietary design. And as more companies design their own custom chips, they are increasingly contributing to a growing ecosystem of development tools, product information and related software that will enable still easier and faster chip design in the future.

6. Blockchain Moves Toward MainstreamThe nascent blockchain industry is about to see some changes of its own. For one, expect the rise of the blockchain-as-a-service model to make these applications more accessible to businesses. Also, there will be a rise in specialized hardware chips for cloud and edge computing, powered by core algorithms used in blockchain technologies. Scientists at DAMO forecast that the number of new blockchain applications will grow significantly this year, as well, while blockchain-related collaborations across industries will become more common. Lastly, the academy expects large-scale blockchain applications to see wide-scale adoption.

7. A Turning Point for Quantum ComputingRecent advancements in this field have stirred up hopes for making large-scale quantum computers a reality, which will prompt more investments into quantum R&D, according to DAMO. That will result in increased competition and ecosystem growth around quantum technologies, as well as more attempts to commercialize the technology. DAMO predicts that after a difficult but critical period of intensive research in the coming years, quantum information science will deliver breakthroughs such as computers that can correct computation errors in real time.

8. More Revolution in SemiconductorsDemand is surging for computing power and storage, but major chipmakers still havent developed a better solution than 3-nanometer node silicon-based transistors. Experiments in design have led to the discovery of other materials that might boost performance. Topological insulators and two-dimensional superconducting materials, for example, may become connective materials as their properties allow electrical currents to flow without resistance. New magnetic and resistive switching materials might also be used to create next-generation magnetic memory technology, which can run on less power than their predecessors.

9. Data Protection Powered by AIAs businesses face a growing number of data-protection regulations and the rising compliance costs to meet them interest is growing in new solutions that support data security. AI algorithms can do that. They help organizations manage and filter through information, protect user information shared across multiple parties and make regulatory compliance easier, or even automatic. These technologies can help companies promote trust in the reuse and sharing of analytics, as well as overcome problems such as data silos, where certain information is not accessible to an entire organization and causes inefficiencies as a result.

10. Innovation Starts on the CloudCloud computing has evolved far beyond its intended purpose as technological infrastructure to take on a defining role in IT innovation. Today, clouds computing power is the backbone of the digital economy as it transforms the newest, most-advanced innovations into accessible services. From semiconductor chips, databases and blockchain to IoT and quantum computing, nearly all technologies are now tied to cloud computing. It has also given rise to new technologies, such as serverless computing architecture and cloud-powered robotic automation.

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Alibaba's 10 Tech Trends to Watch in... - Alizila