NASHUA, N.H. -Until the 21st Century, artificial intelligence (AI) and quantum computers were largely the stuff of science fiction, although quantum theory and quantum mechanics had been around for about a century. A century of great controversy, largely because Albert Einstein rejected quantum theory as originally formulated, leading to his famous statement, God does not play dice with the universe.

Today, however, the debate over quantum computing is largely about when not if these kinds of devices will come into full operation. Meanwhile, other forms of quantum technology, such as sensors, already are finding their way into military and civilian applications.

Quantum technology will be as transformational in the 21st Century as harnessing electricity was in the 19th, Michael J. Biercuk, founder and CEO of Q-CTRL Pty Ltd in Sydney, Australia, and professor of Quantum Physics & Quantum Technologies at the University of Sydney, told the U.S. Office of Naval Research in a January 2019 presentation.

On that, there is virtually universal agreement. But when and how remains undetermined.

For example, asked how and when quantum computing eventually may be applied to high-performance embedded computing (HPEC), Tatjana Curcic, program manager for Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) of the U.S. Defense Advanced Research Projects Agency in Arlington, Va., says its an open question.

Until just recently, quantum computing stood on its own, but as of a few years ago people are looking more and more into hybrid approaches, Curcic says. Im not aware of much work on actually getting quantum computing into HPEC architecture, however. Its definitely not mainstream, probably because its too early.

As to how quantum computing eventually may influence the development, scale, and use of AI, she adds:

Thats another open question. Quantum machine learning is a very active research area, but is quite new. A lot of people are working on that, but its not clear at this time what the results will be. The interface between classical data, which AI is primarily involved with, and quantum computing is still a technical challenge.

Quantum information processing

According to DARPAs ONISQ webpage, the program aims to exploit quantum information processing before fully fault-tolerant quantum computers are realized.This quantum computer based on superconducting qubits is inserted into a dilution refrigerator and cooled to a temperature less than 1 Kelvin. It was built at IBM Research in Zurich.

This effort will pursue a hybrid concept that combines intermediate-sized quantum devices with classical systems to solve a particularly challenging set of problems known as combinatorial optimization. ONISQ seeks to demonstrate the quantitative advantage of quantum information processing by leapfrogging the performance of classical-only systems in solving optimization challenges, the agency states. ONISQ researchers will be tasked with developing quantum systems that are scalable to hundreds or thousands of qubits with longer coherence times and improved noise control.

Researchers will also be required to efficiently implement a quantum optimization algorithm on noisy intermediate-scale quantum devices, optimizing allocation of quantum and classical resources. Benchmarking will also be part of the program, with researchers making a quantitative comparison of classical and quantum approaches. In addition, the program will identify classes of problems in combinatorial optimization where quantum information processing is likely to have the biggest impact. It will also seek to develop methods for extending quantum advantage on limited size processors to large combinatorial optimization problems via techniques such as problem decomposition.

The U.S. government has been the leader in quantum computing research since the founding of the field, but that too is beginning to change.

In the mid-90s, NSA [the U.S. National Security Agency at Fort Meade, Md.] decided to begin on an open academic effort to see if such a thing could be developed. All that research has been conducted by universities for the most part, with a few outliers, such as IBM, says Q-CTRLs Biercuk. In the past five years, there has been a shift toward industry-led development, often in cooperation with academic efforts. Microsoft has partnered with universities all over the world and Google bought a university program. Today many of the biggest hardware developments are coming from the commercial sector.

Quantum computing remains in deep space research, but there are hardware demonstrations all over the world. In the next five years, we expect the performance of these machines to be agented to the point where we believe they will demonstrate a quantum advantage for the first time. For now, however, quantum computing has no advantages over standard computing technology. quantum computers are research demonstrators and do not solve any computing problems at all. Right now, there is no reason to use quantum computers except to be ready when they are truly available.

AI and quantum computing

Nonetheless, the race to develop and deploy AI and quantum computing is global, with the worlds leading military powers seeing them along with other breakthrough technologies like hypersonics making the first to successfully deploy as dominant as the U.S. was following the first detonations of atomic bombs. That is especially true for autonomous mobile platforms, such as unmanned aerial vehicles (UAVs), interfacing with those vehicles onboard HPEC.

Of the two, AI is the closest to deployment, but also the most controversial. A growing number of the worlds leading scientists, including the late Stephen Hawking, warn real-world AI could easily duplicate the actions of the fictional Skynet in the Terminator movie series. Launched with total control over the U.S. nuclear arsenal, Skynet became sentient and decided the human race was a dangerous infestation that needed to be destroyed.

The development of full artificial intelligence could spell the end of the human race. Once humans develop artificial intelligence, it will take off on its own and redesign itself at an ever-increasing rate. Humans, who are limited by slow biological evolution, couldnt compete and would be superseded. Stephen Hawking (2014)

Such dangers have been recognized at least as far back as the publication of Isaac Asimovs short story, Runabout, in 1942, which included his Three Laws of Robotics, designed to control otherwise autonomous robots. In the story, the laws were set down in 2058:

First Law A robot may not injure a human being or, through inaction, allow a human being to come to harm.

Second Law A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.

Third Law A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.

Whether it would be possible to embed and ensure unbreakable compliance with such laws in an AI system is unknown. But limited degrees of AI, known as machine learning, already are in widespread use by the military and advanced stages of the technology, such as deep learning, almost certainly will be deployed by one or more nations as they become available. More than 50 nations already are actively researching battlefield robots.

Military quantum computing

AI-HPEC would give UAVs, next-generation cruise missiles, and even maneuverable ballistic missiles the ability to alter course to new targets at any point after launch, recognize counter measures, avoid, and misdirect or even destroy them.

Quantum computing, on the other hand, is seen by some as providing little, if any, advantage over traditional computer technologies, by many as requiring cooling and size, weight and power (SWaP) improvements not possible with current technologies to make it applicable to mobile platforms and by most as being little more than a research tool for perhaps decades to come.

Perhaps the biggest stumbling block to a mobile platform-based quantum computing is cooling it currently requires a cooling unit, at near absolute zero, the Military trusted computing experts are considering new generations of quantum computing for creating nearly unbreakable encryption for super-secure defense applications.size of a refrigerator to handle a fractional piece of quantum computing.

A lot of work has been done and things are being touted as operational, but the most important thing to understand is this isnt some simple physical thing you throw in suddenly and it works. That makes it harder to call it deployable youre not going to strap a quantum computing to a handheld device. A lot of solutions are still trying to deal with cryogenics and how do you deal with deployment of cryo, says Tammy Carter, senior product manager for GPGPUs and software products at Curtiss-Wright Defense Solutions in Ashburn, Va.

AI is now a technology in deployment. Machine learning is pretty much in use worldwide, Carter says. Were in a migration of figuring out how to use it with the systems we have. quantum computing will require a lot of engineering work and demand may not be great enough to push the effort. From a cryogenically cooled electronics perspective, I dont think there is any insurmountable problem. It absolutely can be done, its just a matter of decision making to do it, prioritization to get it done. These are not easily deployed technologies, but certainly can be deployed.

Given its current and expected near-term limitations, research has increased on the development of hybrid systems.

The longer term reality is a hybrid approach, with the quantum system not going mobile any time soon, says Brian Kirby, physicist in the Army Research Laboratory Computational & Informational Sciences Directorate in Adelphi, Md. Its a mistake to forecast a timeline, but Im not sure putting a quantum computing on such systems would be valuable. Having the quantum computing in a fixed location and linked to the mobile platform makes more sense, for now at least. There can be multiple quantum computers throughout the country; while individually they may have trouble solving some problems, networking them would be more secure and able to solve larger problems.

Broadly, however, quantum computing cant do anything a practical home computer cant do, but can potentially solve certain problems more efficiently, Kirby continues. So youre looking at potential speed-up, but there is no problem a quantum computing can solve a normal computer cant. Beyond the basics of code-breaking and quantum simulations affecting material design, right now we cant necessarily predict military applications.

Raising concerns

In some ways similar to AI, quantum computing raises nearly as many concerns as it does expectations, especially in the area of security. The latest Thales Data Threat Report says 72 percent of surveyed security experts worldwide believe quantum computing will have a negative impact on data security within the next five years.

At the same time, quantum computing is forecast to offer more robust cryptography and security solutions. For HPEC, that duality is significant: quantum computing can make it more difficult to break the security of mobile platforms, while simultaneously making it easier to do just that.

Quantum computers that can run Shors algorithm [leveraging quantum properties to factor very large numbers efficiently] are expected to become available in the next decade. These algorithms can be used to break conventional digital signature schemes (e.g. RSA or ECDSA), which are widely used in embedded systems today. This puts these systems at risk when they are used in safety-relevant long-term applications, such as automotive systems or critical infrastructures. To mitigate this risk, classical digital signature schemes used must be replaced by schemes secure against quantum computing-based attacks, according to the August 2019 proceedings of the 14th International Conference on Availability, Reliability & Securitys Post-Quantum Cryptography in Embedded Systems report.

The security question is not quite so clean-cut as armor/anti-armor, but there is a developing bifurcation between defensive and offensive applications. On the defense side, deployed quantum systems are looked at to provide encoded communications. Experts say it seems likely the level of activity in China about quantum communications, which has been a major focus for years, runs up against the development of quantum computing in the U.S. The two aspects are not clearly one-against-one, but the two moving independently.

Googles quantum supremacy demonstration has led to a rush on finding algorithms robust against quantum attack. On the quantum communications side, the development of attacks on such systems has been underway for years, leading to a whole field of research based on identifying and exploiting quantum attacks.

Quantum computing could also help develop revolutionary AI systems. Recent efforts have demonstrated a strong and unexpected link between quantum computation and artificial neural networks, potentially portending new approaches to machine learning. Such advances could lead to vastly improved pattern recognition, which in turn would permit far better machine-based target identification. For example, the hidden submarine in our vast oceans may become less-hidden in a world with AI-empowered quantum computers, particularly if they are combined with vast data sets acquired through powerful quantum-enabled sensors, according to Q-CTRLs Biercuk.

Even the relatively mundane near-term development of new quantum-enhanced clocks may impact security, beyond just making GPS devices more accurate, Biercuk continues. Quantum-enabled clocks are so sensitive that they can discern minor gravitational anomalies from a distance. They thus could be deployed by military personnel to detect underground, hardened structures, submarines or hidden weapons systems. Given their potential for remote sensing, advanced clocks may become a key embedded technology for tomorrows warfighter.

Warfighter capabilities

The early applications of quantum computing, while not embedded on mobile platforms, are expected to enhance warfighter capabilities significantly.

Jim Clark, director of quantum hardware at Intel Corp. in Santa Clara, Calif., shows one of the companys quantum processors.There is a high likelihood quantum computing will impact ISR [intelligence, surveillance and reconnaissance], solving logistics problems more quickly. But so much of this is in the basic research stage. While we know the types of problems and general application space, optimization problems will be some of the first where we will see advantages from quantum computing, says Sara Gamble, quantum information sciences program manager at ARL.

Biercuk says he agrees: Were not really sure there is a role for quantum computing in embedded computing just yet. quantum computing is right now very large systems embedded in mainframes, with access by the cloud. You can envision embedded computing accessing quantum computing via the cloud, but they are not likely to be very small, agile processors you would embed in a SWAP-constrained environment.

But there are many aspects of quantum technology beyond quantum computing; the combination of quantum sensors could allow much better detection in the field, Biercuk continues. The biggest potential impact comes in the areas of GPS denial, which has become one of the biggest risk factors identified in every blueprint around the world. quantum computing plays directly into this to perform dead reckoning navigation in GPS denial areas.

DARPAs Curcic also says the full power of quantum computing is still decades away, but believes ONISQ has the potential to help speed its development.

The main two approaches industry is using is superconducting quantum computing and trapped ions. We use both of those, plus cold atoms [Rydberg atoms]. We are very excited about ONISQ and seeing if we can get anything useful over classical computing. Four teams are doing hardware development with those three approaches, she says.

Because these are noisy systems, its very difficult to determine if there will be any advantages. The hope is we can address the optimization problem faster than today, which is what were working on with ONISQ. Optimization problems are everywhere, so even a small improvement would be valuable.

Beyond todays capabilities

As to how quantum computing and AI may impact future warfare, especially through HPEC, she adds: I have no doubt quantum computing will be revolutionary and well be able to do things beyond todays capabilities. The possibilities are pretty much endless, but what they are is not crystal clear at this point. Its very difficult, with great certainly, to predict what quantum computing will be able to do. Well just have to build and try. Thats why today is such an exciting time.

Curtiss Wrights Carter says he believes quantum computing and AI will be closely linked with HPEC in the future, once current limitations with both are resolved.

AI itself is based on a lot of math being done in parallel for probability answers, similar to modeling the neurons in the brain highly interconnected nodes and interdependent math calculations. Imagine a small device trying to recognize handwriting, Carter says. You run every pixel of that through lots and lots of math, combining and mixing, cutting some, amplifying others, until you get a 98 percent answer at the other end. quantum computing could help with that and researchers are looking at how you would do that, using a different level of parallel math.

How quantum computing will be applied to HPEC will be the big trick, how to get that deployed. Imagine were a SIGINT [signals intelligence] platform land, air or sea there are a lot of challenges, such as picking the right signal out of the air, which is not particularly easy, Carter continues. Once you achieve pattern recognition, you want to do code breaking to get that encrypted traffic immediately. Getting that on a deployed platform could be useful; otherwise you bring your data back to a quantum computing in a building, but that means you dont get the results immediately.

The technology research underway today is expected to show progress toward making quantum computing more applicable to military needs, but it is unlikely to produce major results quickly, especially in the area of HPEC.

Trapped ions and superconducting circuits still require a lot of infrastructure to make them work. Some teams are working on that problem, but the systems still remain room-sized. The idea of quantum computing being like an integrated circuit you just put on a circuit board were a very long way from that, Biercuk says. The systems are getting smaller, more compact, but there is a very long way to go to deployable, embeddable systems. Position, navigation and timing systems are being reduced and can be easily deployed on aircraft. Thats probably where the technology will remain in the next 20 years; but, eventually, with new technology development, quantum computing may be reduced to more mobile sizes.

The next 10 years are about achieving quantum advantage with the systems available now or iterations. Despite the acceleration we have seen, there are things that are just hard and require a lot of creativity, Biercuk continues. Were shrinking the hardware, but that hardware still may not be relevant to any deployable system. In 20 years, we may have machines that can do the work required, but in that time we may only be able to shrink them to a size that can fit on an aircraft carrier local code-breaking engines. To miniaturize this technology to put it on, say, a body-carried system, we just dont have any technology basis to claim we will get there even in 20 years. Thats open to creativity and discovery.

Even with all of the research underway worldwide, one question remains dominant.

The general challenge is it is not clear what we will use quantum computing for, notes Rad Balu, a computer scientist in ARLs Computational & Informational Sciences Directorate.

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The future of artificial intelligence and quantum computing - Military & Aerospace Electronics

The quest to build the ultimate computer has taken a big step forward following breakthroughs in ensuring its answers can be trusted.

Known as a quantum computer, such a machine exploits bizarre effects in the sub-atomic world to perform calculations beyond the reach of conventional computers.

First proposed almost 40 years ago, tech giants Microsoft, Google and IBM are among those racing to exploit the power of quantum computing, which is expected to transform fields ranging from weather forecasting and drug design to artificial intelligence.

The power of quantum computers comes from their use of so-called qubits, the quantum equivalent of the 1s and 0s bits used by conventional number-crunchers.

Unlike bits, qubits exploit a quantum effect allowing them to be both 1s and 0s at the same time. The impact on processing power is astonishing. Instead of processing, say, 100 bits in one go, a quantum computer could crunch 100 qubits, equivalent to 2 to the power 100, or a million trillion trillion bits.

At least, that is the theory. The problem is that the property of qubits that gives them their abilities known as quantum superposition is very unstable.

Once created, even the slightest vibration, temperature shift or electromagnetic signal can disturb the qubits, causing errors in calculations. Unless the superposition can be maintained long enough, the quantum computer either does a few calculations well or a vast amount badly.

For years, the biggest achievement of any quantum computer involved using a few qubits to find the prime factors of 15 (which every schoolchild knows are 3 and 5).

Using complex shielding methods, researchers can now stabilise around 50 qubits long enough to perform impressive calculations.

Last October, Google claimed to have built a quantum computer that solved in 200 seconds a maths problem that would have taken an ultra-fast conventional computer more than 10,000 years.

Yet even this billion-fold speed-up is just a shadow of what would be possible if qubits could be kept stable for longer. At present, many of the qubits have their powers wasted being used to spot and fix errors.

Now two teams of researchers have independently found new ways of tackling the error problem.

Physicists at the University of Chicago have found a way of keeping qubits stable for longer not by blocking disturbances, but by blurring them.

It is like sitting on a merry-go-round with people yelling all around you

Dr Kevin Miao, computing expert

In some quantum computers, the qubits take the form of electrons whose direction of spin is a superposition of both up and down. By adding a constantly flipping magnetic field, the team found that the electrons rotated so quickly that they barely noticed outside disturbances. The researchers explain the trick with an analogy: It's like sitting on a merry-go-round with people yelling all around you, says team member Dr Kevin Miao. When the ride is still, you can hear them perfectly, but if you're rapidly spinning, the noise blurs into a background.

Describing their work in the journal Science, the team reported keeping the qubits working for about 1/50th of a second - around 10,000 times longer than their lifetime if left unshielded. According to the team, the technique is simple to use but effective against all the standard sources of disturbance. Meanwhile, researchers at the University of Sydney have come up with an algorithm that allows a quantum computer to work out how its qubits are being affected by disturbances and fix the resulting errors. Reporting their discovery in Nature Physics, the team says their method is ready for use with current quantum computers, and could work with up to 100 qubits.

These breakthroughs come at a key moment for quantum computing. Even without them, the technology is already spreading beyond research laboratories.

In June, the title of worlds most powerful quantum computer was claimed not by a tech giant but by Honeywell a company perhaps best known for central heating thermostats.

Needless to say, the claim is contested by some, not least because the machine is reported to have only six qubits. But Honeywell points out that it has focused its research on making those qubits ultra-stable which allows them to work reliably for far longer than rival systems. Numbers of qubits alone, in other words, are not everything.

And the company insists this is just the start. It plans to boost the performance of its quantum computer ten-fold each year for the next five years, making it 100,000 times more powerful still.

But apart from bragging rights, why is a company like Honeywell trying to take on the tech giants in the race for the ultimate computer ?

A key clue can be found in remarks made by Honeywell insiders to Forbes magazine earlier this month. These reveal that the company wants to use quantum computers to discover new kinds of materials.

Doing this involves working out how different molecules interact together to form materials with the right properties. Thats something conventional computers are already used for. But quantum computers wont just bring extra number-crunching power to bear. Crucially, like molecules themselves, their behaviour reflects the bizarre laws of quantum theory. And this makes them ideal for creating accurate simulations of quantum phenomena like the creation of new materials.

This often-overlooked feature of quantum computers was, in fact, the original motivation of the brilliant American physicist Richard Feynman, who first proposed their development in 1981.

Honeywell already has plans to use quantum computers to identify better refrigerants. These compounds were once notorious for attacking the Earths ozone layer, but replacements still have unwanted environmental effects. Being relatively simple chemicals, the search for better refrigerants is already within the reach of current quantum computers.

But Honeywell sees a time when far more complex molecules such as drugs will also be discovered using the technology.

For the time being, no quantum computer can match the all-round number-crunching power of standard computers. Just as Honeywell made its claim, the Japanese computer maker Fujitsu unveiled a supercomputer capable of over 500 million billion calculations a second.

Even so, the quantum computer is now a reality and before long it will make even the fastest supercomputer seem like an abacus.

Robert Matthews is Visiting Professor of Science at Aston University, Birmingham, UK

Updated: August 21, 2020 12:06 PM

Link:
Has the world's most powerful computer arrived? - The National

The National Science Foundation this week announced a five-year, $26 million initial grant to a consortium led by the University of Arizona to form a new Engineering Research Center, the Center for Quantum Networks (CQN), with partners at Harvard, Yale and MIT, among others, and including quantum networking researcher Don Towsley of the College of Information and Computer Sciences.

One of the centers goals is to develop quantum communications and the quantum internet, where bits of information are encoded in photons of infrared light, for example, instead of radio waves when beaming from a satellite. Once developed fully, quantum communication is expected to be more secure than existing systems.

Towsley says his role in the multi-institution team will be to co-lead one of three research thrusts focused on quantum network architecture. In addition to leadership responsibilities, Towsley will perform research on fundamental performance limits of quantum networks and on the right protocols to achieve these limits.

The University of Arizona leadership team says they hope the new CQN will lay the foundations for a quantum internetby transforming computing, communication and sensing on a new platform. It will connect quantum computers, data centers and gadgets using information states of quantum bits known asqubits. These will someday offer increased processing capacity over the classical data system. It now relies on data storage and processing in the 0 or 1 bit state, but qubits will allow superposition of both states at the same time.

The CQN also is charged with investigating the effects of a future quantum internet on education, workforce development, innovation and society. Organizers also say CQN has a mandate to develop not only the technology, but to address concurrent topics science, law, policy and society as they emerge, within a strong culture of inclusion. It will also emphasize engineering workforce development and include raising student awareness with curriculum and projects involving policy, law and society.

The new CQN will also create Master of Science programs in quantum information science and engineering, believed to be the first of its kind. Another major focus of the CQN team will be research to advance key underlying technologies, including fundamental quantum materials and devices, the quantum and classical processing required at a network node, and quantum network protocols and architectures.

Other universities involved are Brigham Young University, Howard University, Northern Arizona University and the universities of Chicago and Oregon.

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Computer Scientist Don Towsley Named to Team Developing the Quantum Internet - UMass News and Media Relations

TOKYO, July 30, 2020 /PRNewswire/ --Today, IBM (NYSE: IBM) and the University of Tokyo unveiled a landmark collaboration with the launch of the Quantum Innovation Initiative Consortium (QIIC). Expanding from the December 2019 JapanIBM Quantum Partnership initiative, QIIC, aims to accelerate the collaboration between industry, academia, and government to advance Japan's leadership in quantum science, business, and education.

QIIC's main goal is to strategically accelerate quantum computing R&D activities in Japan by bringing together academic talent from across the country's universities and prominent research associations and large-scale industry. The consortium plans to further develop technology for quantum computing in Japan and build an ecosystem to improve student skills and expertise, opening doors to future scientific discoveries and practical quantum applications.

Headquartered at the University of Tokyo, member organizations of QIIC will collaborate to engage students, faculty, and industry researchers with seminars, workshops, and events to foster new quantum business opportunities in Japan. Organizations in agreement to join the consortiuminclude Keio University, Toshiba, Hitachi, Mizuho,MUFG, JSR, DIC, Toyota, Mitsubishi Chemicals and IBM Japan.

These organizations in consortium will also be part of the IBM Q Network the world's first community of Fortune 500 companies, startups, academic institutions and research labs to advance quantum computing and the development of practical applications for it. As part of the network, they will have access to IBM's expertise and resources, and cloud development environment, as well as cloud-based access to the IBM Quantum Computation Center, which includes IBM's most-advanced quantum computers.

In addition to cloud-based access to the IBM's fleet of quantum systems, the QIIC will also have access to an IBM Q System One, a dedicated system planned for installation in Japan in 2021. The first of its kind in the region, and only the second such installation outside of the US, this system along with a separate testbed system to be part of a system technology development lab will support the consortium's goals of next-generation quantum hardware research and development, including cryogenic components, room temperature electronics, and micro-signal generators.

According to Professor Makoto Gonokami, President of the University of Tokyo:

"Society 5.0is the concept of a better future with inclusive, sustainable and a knowledge-intensive society where information and services create value underpinned by digital innovation. The key to realizing this society is to utilize real data in real-time. In order to achieve this, it is necessary to protect and nurture the global environment, an entity of physical space and cyberspace as one, by taking it as a global commons (a concept that encompasses global resources and the ecosystems) which is sustainable and reliable, while the fusion of physical space and cyberspace progresses.

"Quantum technology and quantum computers are indispensable technologies to make that happen. I believe that Japan will play an important role in implementing quantum computing technology to society ahead of rest of the world, and that industry-academia-government collaboration is necessary for this. The QIIC will accelerate quantum technology research and its implementation to the Society 5.0 while firmlysharing each other's wisdom and promoting the close sharing of information."

"Today, I am extremely excited and proud to launch this new consortium that will help foster economic growth and quantum technology leadership in Japan.The QIIC will greatly advance Japan's entire quantum computing ecosystem, bringing experts from industry, government and academia together to collaborate on researchand development," said Dario Gil, Director of IBM Research. "Quantum computing has the potential totackle some of the world's greatest challengesin the future.We expect that it will helpusaccelerate scientific discovery so that we candevelop vaccinesmore quickly and accurately,create new materials toaddressclimate changeor design better energy storage technologies. The potential is massive,andwe will only reach this future if we work together uniting the best minds from the public and private sectors. Universities, businesses and governments have to collaborate so that we can unleash the full potential of quantum computing."

QIIC's members are forging a path for Japan's discovery of practical quantum applications for the benefit of society. The cooperation between industry, academia, and government aims to create a new community for quantum computation research and use cases.

About IBM QuantumIBM Quantum is an industry-first initiative to build quantum systems for business and science applications. For more information about IBM's quantum computing efforts, please visitwww.ibm.com/ibmq.

For more information about the IBM Q Network, as well as a full list of all partners, members, and hubs, visithttps://www.research.ibm.com/ibm-q/network/

About The University of Tokyo

The University of Tokyo was established in 1877 as the first national university in Japan. As a leading research university, the University of Tokyo is conducting academic research in almost all fields at both undergraduate and graduate schools. The University aims to provide its students with a rich and varied academic environment that ensures opportunities for acquiring both academic and professional knowledge and skills.

Media Contacts

Chris Nay [emailprotected]

Miri Yasuhara IBM Japan +81 50 3150 7967 [emailprotected]

SOURCE IBM

http://www.ibm.com

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IBM and the University of Tokyo Unveil the Quantum Innovation Initiative Consortium to Accelerate Japan's Quantum Research and Development Leadership...