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Archive for the ‘Quantum Computing’ Category

How quantum computing could drive the future auto industry – TechHQ

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Quantum Computing (QC) has been gaining huge momentum in the last few years. Recent breakthroughs in affordable technology have seen conversations shift from the theoretical to practical use cases.

As early as 2018, IBM drew attention across the tech world with the creation of its Q System One quantum computer, while D-Wave Technologies went on to announce a QC chip with 5,000 qubits, more than doubling its own previous 2,000-qubit record.

While quantum-computing applications may still be five to ten years down the road, a recent report by McKinsey shows that the automotive and transportation sectors have been quick to capitalize on QCs potential, and have successfully showcased how effective the technology can be with several pilots.

Several OEMs (original equipment manufacturers) and tier-one suppliers are actively discovering how the technology can benefit the industry by resolving existing issues related to route optimization, fuel-cell optimization, and material durability.

Just last year, Volkswagen partnered with D-Wave to demonstrate an efficient traffic-management system that optimized the travel routes of nine public-transit buses during the 2019 Web Summit in Lisbon.

Elsewhere, significant investments have already been made, with German supplier Bosch acquiring a stake in Massachusetts-based quantum start-up Zapata Computing, contributing to a US$21 million Series A investment.

BMW, Daimler, and Volkswagen have announced that they are actively pursuing QC research, including quantum simulation for material sciences, aiming to improve the efficiency, safety, and durability of batteries and fuel cells.

Quantum Computing is being embraced by the automotive sector. Source: Pixabay

The potential for QC in the automotive sector could translate into billions of dollars in value as OEMs and automotive stakeholders hone in on the markets niche and develop a clear QC strategy.

As things stand, automotive will be one of the primary value pools for QC and is expected to have an impact on the automotive industry of up to US$3 billion by 2030, thanks to its potential in solving complex optimization problems that include processing vast amounts of data to accelerate learning in autonomous-vehicle-navigation algorithms.

QC will later have a positive effect on vehicle routing and route optimization, material and process research, as well as help improve the security of connected driving, and help accelerate research into electric vehicles (EV).

Supply routes involving several modes of transport could be optimized using algorithms developed through QC, while other applications will improve energy storage and generative design. QC could also help suppliers improve or refine kinetic properties of materials for lightweight structures and adhesives, as well as develop efficient cooling systems.

QC will be utilized by automakers during vehicle design to produce improvements relating to minimizing drag and improving fuel efficiency. Whats more, QC has the ability to perform advanced simulations in areas such as vehicle crash behavior and cabin soundproofing, as well as to train algorithms used in the development of autonomous-driving software. QCs potential to reduce computing times from several weeks to a few seconds means that OEMs could ensure car-to-car communications in real-time, every time.


Shared mobility players such as Lyft and Uber also have the potential to use QC to optimize vehicle routing, while improving fleet efficiency and availability. Alternatively, QC can help service providers simulate complex economic scenarios to predict how demand varies by geography.

Within the next five years, the automotive industry will continue to focus on product development and R&D.

QC isnt likely to replace existing high-performance computing (HPC), but will instead rely heavily on hybrid schemes where a conventional HPC can help refine problem-solving more efficiently. A computational problem, for example, to find the most efficient option among billions of possible combinations will initially be iterated with a quantum computer to get an approximate answer before the remainder is handled by an HPC to round off assessments in the subset of solution space.

The pathway for QC is still uncertain despite its potential. Investing in QC is a heavy commitment but will almost certainly put companies ahead of competitors further down the line once it has become more mainstream in use.

Automotive players will need to determine exactly where they fit in the value chain, while building solid partnerships and valuable intellectual property.

The next five to ten years will see players prioritizing application development and building focused capabilities, while making first pilots and prototypes operational. Ten years and beyond will see businesses take full advantage of their technological edge through QC and expand their core capabilities.

As QC continues to make breakthroughs, the automotive sector is set to drive the technology to the next level.

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Spin-Based Quantum Computing Breakthrough: Physicists Achieve Tunable Spin Wave Excitation – SciTechDaily

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Magnon excitation. Credit: Daria Sokol/MIPT Press Office

Physicists from MIPT and the Russian Quantum Center, joined by colleagues from Saratov State University and Michigan Technological University, have demonstrated new methods forcontrolling spin waves in nanostructured bismuth iron garnet films via short laser pulses. Presented inNano Letters, the solution has potential for applications in energy-efficient information transfer and spin-based quantum computing.

Aparticles spin is its intrinsic angular momentum, which always has a direction. Inmagnetized materials, the spins all point in one direction. A local disruption of this magnetic order is accompanied by the propagation of spin waves, whose quanta are known as magnons.

Unlike the electrical current, spin wave propagation does not involve a transfer of matter. Asaresult, using magnons rather than electrons to transmit information leads to much smaller thermal losses. Data can be encoded in the phase or amplitude of a spin wave and processed via wave interference or nonlinear effects.

Simple logical components based on magnons are already available as sample devices. However, one of the challenges of implementing this new technology is the need to control certain spin wave parameters. Inmany regards, exciting magnons optically is more convenient than by other means, with one of the advantages presented in the recent paper in Nano Letters.

The researchers excited spin waves in a nanostructured bismuth iron garnet. Even without nanopatterning, that material has unique optomagnetic properties. It is characterized by low magnetic attenuation, allowing magnons topropagate over large distances even at room temperature. It is also highly optically transparent in the near infrared range and has a high Verdet constant.

The film used in the study had an elaborate structure: a smooth lower layer with a one-dimensional grating formed on top, with a 450-nanometer period (fig.1). This geometry enables the excitation ofmagnons with a very specific spin distribution, which is not possible for an unmodified film.

To excite magnetization precession, the team used linearly polarized pump laser pulses, whose characteristics affected spin dynamics and the type of spin waves generated. Importantly, wave excitation resulted from optomagnetic rather than thermal effects.

Schematic representation of spin wave excitation by optical pulses. The laser pump pulse generates magnons by locally disrupting the ordering of spins shown as violet arrows in bismuth iron garnet (BiIG). A probe pulse is then used to recover information about the excited magnons. GGG denotes gadolinium gallium garnet, which serves as the substrate. Credit: Alexander Chernov et al./Nano Letters

The researchers relied on 250-femtosecond probe pulses to track the state of the sample and extract spin wave characteristics. Aprobe pulse can be directed to any point on the sample with adesired delay relative to the pump pulse. This yields information about the magnetization dynamics in a given point, which can be processed to determine the spin waves spectral frequency, type, and other parameters.

Unlike the previously available methods, the new approach enables controlling the generated wave by varying several parameters of the laser pulse that excites it. In addition to that, thegeometry of the nanostructured film allows the excitation center to be localized inaspot about 10 nanometers in size. The nanopattern also makes it possible to generate multiple distinct types of spin waves. The angle of incidence, the wavelength and polarization of the laser pulses enable the resonant excitation of the waveguide modes of the sample, which are determined by the nanostructure characteristics, so the type of spin waves excited can be controlled. It is possible for each of the characteristics associated with optical excitation to be varied independently to produce the desired effect.

Nanophotonics opens up new possibilities in the area of ultrafast magnetism, said the studys co-author, Alexander Chernov, who heads the Magnetic Heterostructures and Spintronics Lab at MIPT. The creation of practical applications will depend on being able to go beyond the submicrometer scale, increasing operation speed and the capacity for multitasking. We have shown a way to overcome these limitations by nanostructuring a magnetic material. We have successfully localized light in a spot few tens of nanometers across and effectively excited standing spin waves of various orders. This type of spin waves enables the devices operating at high frequencies, up to the terahertz range.

The paper experimentally demonstrates an improved launch efficiency and ability to control spin dynamics under optical excitation by short laser pulses in a specially designed nanopatterned film of bismuth iron garnet. It opens up new prospects for magnetic data processing and quantum computing based on coherent spin oscillations.

Reference: All-Dielectric Nanophotonics Enables Tunable Excitation of the Exchange Spin Waves by Alexander I. Chernov*, Mikhail A. Kozhaev, Daria O. Ignatyeva, Evgeniy N. Beginin, Alexandr V. Sadovnikov, Andrey A. Voronov, Dolendra Karki, Miguel Levy and Vladimir I. Belotelov, 9 June 2020, Nano Letters. DOI: 10.1021/acs.nanolett.0c01528

The study was supported by the Russian Ministry of Science and Higher Education.

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2025 will be the year of Quantum on the desktop – Fudzilla

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IonQ CEO's bold claim

We could see a quantum PC on the desktop by 2025 according to IonQ CEO Peter Chapman.

Talking to the assembled throngs at TechCrunch Disrupt 2020, Chapman said that in the next five years you will see desktop quantum machines, athough the goal is to get to a rack-mounted quantum computer.

You know, you cant rely on a system which is sitting in a cloud. So it needs to be on the plane itself. If youre going to apply quantum to military applications, then youre going to need edge-deployed quantum computers, he said.

IonQ relies on technology pioneered in atomic clocks for its form of quantum computing. Quantum Machines doesnt build quantum processors. Instead, it builds the hardware and software layer to control these machines, which are reaching a point where that cant be done with classical computers anymore.

Chapman predicted that we could have edge quantum machines in situations such as a military plane, that cannot access the cloud efficiently.

Alan Baratz, CEO at D-Wave Systems thought that was pushing things a bit. He thought it all hinges on the super-conducting technology that his company is building, it requires a special kind of rather large quantum refrigeration unit called a dilution fridge, and that unit would make a five year goal of having a desktop quantum PC highly unlikely.

Itamar Sivan, CEO at Quantum Machines, too, believes we have a lot of steps to go before we see that kind of technology, and a lot of hurdles to overcome to make that happen.

This challenge is not within a specific, singular problem about finding the right material or solving some very specific equation, or anything. Its really a challenge, which is multidisciplinary to be solved here, Sivan said.

D-Wave, on the other hand, uses a concept called quantum annealing, which allows it to create thousands of qubits, but at the cost of higher error rates.

As the technology develops further in the coming decades, these companies believe they are offering value by giving customers a starting point into this powerful form of computing, which when harnessed will change the way we think of computing in a classical sense. But Sivan says there are many steps to get there.

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2025 will be the year of Quantum on the desktop - Fudzilla

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Putting the Quantum in Security – Optics & Photonics News

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Grgoire Ribordy [Image: Courtesy of ID Quantique]

In the second day of OSAs Quantum 2.0 conference, the focus shifted from quantum computing to other aspects of quantum technologyparticularly quantum communications and quantum sensing. On that note, Grgoire Ribordy, the founder of the Switzerland-based quantum crypto firm ID Quantique, looked at how quantum technologies are being employed for the long-term challenges in data security posed by quantum computing itself.

ID Quantique has a long pedigree in quantum technology; the company has been in business since 2001. In retrospect, Ribordy said, we were really crazy to start a company in quantum technology in 2001 It was way too early. But the firm forged ahead and has now developed a suite of applications in the data-security space.

Ribordy stressed thatespecially over the past few monthsits become increasingly clear that digital security, and protecting digital information against hacking, is extremely important. Classical cryptography assembles a set of techniques for hiding information from unauthorized users, which Ribordy compared to building a castle around the data.

The problem, however, is that after quantum computers become reality, one application for them will be to crack the cryptography systems that are currently in use. When that happens, said Ribordy, the walls we have today wont be able to protect the data anymore. The best cryptography techniques for avoiding that baleful outcome, he suggested, are those that themselves rely on quantum technologyand that can provide robust protection, while still allowing the convenience of the prevailing classical private-key encryption systems.

[Image: Grgoire Ribordy/OSA Quantum 2.0 Conference]

Just how much one should worry about all ofthis nowwhen quantum computers powerful enough to do this sort of cracking still lie years in the futuredepends, according toRibordy, on three factors. One, which he labeled factor x, is how long you need current data to be encryptedperhaps only a short time for some kinds of records, decades for other kinds. The second, y, is the time that it will take to retool the current infrastructure to be transformed into somethingquantum-safe. And the third, z, is how long it will actually take for large-scale, encryption-breaking quantum computers to be built.

If x and/or y are longer than z, he suggested, we have a problemand theres a lot of debate today surrounding just what the values of these variables are. One of ID Quantiques services is to take clients through a quantum risk assessment that attempts to suss out how long they need to protect their data, and what the implications are for their cryptography approach.

Ribordy cited three key components to effective long-term quantum encryption. One, and perhaps the oldest, is quantum random number generation (QRNG) to build security keys, whether classical or quantum. A second is something that Ribordy called crypto-agility. (You dont hard-code cryptography, he explained. Instead, you want to upgrade it whenever a new advance comes.) And the third component is quantum key distribution (QKD), which is a technique still under active development, but which is already being deployed in some cases.

On the first component, Ribordy noted that ID Quantique has been active in QRNG since 2014, when the idea arose of using mobile-phone camera sensors as a source for QRNs. These arrays of pixels, he said, can provide both large rates of raw entropy (an obvious necessity for true randomness), and an industry-compatible interface. He walked the audience through the companys efforts to create a low-cost (CMOS-based), low-power, security-compliant chip for QRNGbeginning with early experiments using a Nokia phone and moving through the required efforts at miniaturization, engineering for stability and consistency, and avoiding such pitfalls as correlations between the different camera pixels, which would degrade the randomness of the output.

The result, Ribordy said, is a QRNG chip that has recently been added to a new Samsung mobile phoneappropriately named the Galaxy A71 Quantumthat is now available in the Republic of Korea. And the chip is not just window dressinga Korean software company partnered with Samsung to create apps for pay services, cryptocurrency services and other features that rely on random numbers, and that use the ID Quantique chip to get high-quality instances of them.

Grgoire Ribordy, at the OSA Quantum 2.0 conference.

We think this is very important, said Ribordy, because it shows that quantum technologies can be industrialized and integrated into applications.

In terms of such industrialization, another security application, quantum key distribution (QKD) is not as advanced as QRNG, according to Ribordybut he argued that the experience of QRNG bodes well for QKDs commercialization path. One issue for QKD is the short distance that such secure links can exist in fiber before quantum bit error rates become too high, though Ribordy pointed to recent paper in Nature Photonics in which practical QKD was demonstrated across a fiber link of 307 km.

Ribordy noted a number of areas of particular activity in the QKD sphere. One active area of interest, for example, is developing network topologies that play especially well with QKD. ID Quantique is also working with SK Telecom in the Republic of Korea on how QKD can be integrated into the optical networks underlying next-generation, 5G wireless. In these circumstances, the proverbial last mile, operating at radio frequencies, can only be secured with traditional cryptography, but using QKD on the optical part of the communication change will make the network as a whole more secure.

A number of other projects are in the works as well, Ribordy said, including a European project, Open QKD, the goal of which is to prepare the next generation of QKD deployment in Europe. And large-scale deployment projects are afoot in China as well.

The presence of these diverging global efforts prompted a question in the Q&A session that followed Ribordys talkjust how open are these QKD markets? Ribordy noted that, in the near term they are closing down Since quantum is a new industry, every country or region would like to be a player. The Chinese QKD ecosystem, he suggested, is completely cut offthere is kind of a Galapagos effect, and Europe also is starting to become a more closed ecosystem in the QKD arena. Ribordy views this as a sign of market immaturity, however, and believes things will become more open again in the future with efforts toward certification and standardization.

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Putting the Quantum in Security - Optics & Photonics News

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NTT Research and University of Notre Dame Collaborate to Explore Continuous-Time Analog Computing – Quantaneo, the Quantum Computing Source

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NTT Research, Inc., a division of NTT (TYO:9432), today announced that it has reached an agreement with the University of Notre Dame to conduct joint research between its Physics and Informatics (PHI) Lab and the Universitys Department of Physics. The five-year agreement covers research to be undertaken by Dr. Zoltn Toroczkai, a professor of theoretical physics, on the limits of continuous-time analog computing. Because the Coherent Ising Machine (CIM), an optical device that is key to the PHI Labs research agenda, exhibits characteristics related to those of analog computers, one purpose of this project is to explore avenues for improving CIM performance.

The three primary fields of the PHI Lab include quantum-to-classical crossover physics, neural networks and optical parametric oscillators. The work with Dr. Toroczkai addresses an opportunity for tradeoffs in the classical domain between analog computing performance and controllable variables with arbitrarily high precision. Interest in analog computing has rebounded in recent years thanks to modern manufacturing techniques and the technologys efficient use of energy, which leads to improved computational performance. Implemented with the Ising model, analog computing schemes now figure within some emerging quantum information systems. Special-purpose, continuous time analog devices have been able to outperform state-of-the-art digital algorithms, but they also fail on some classes of problems. Dr. Toroczkais research will explore the theoretical limits of analog computing and focus on two approaches to achieving improved performance using less precise variables, or (in the context of the CIM) a less identical pulse amplitude landscape.

Were very excited to have the University of Notre Dame and Professor Toroczkai, a specialist in analog computing, join our growing consortium of researchers engaged in rethinking the limits and possibilities of computing, said NTT Research PHI Lab Director Yoshihisa Yamamoto. We see his work at the intersection of hard, optimization problems and analog computing systems that can efficiently solve them as very promising.

The agreement identifies research subjects and project milestones between 2020 and 2024. It anticipates Dr. Toroczkai and a graduate student conducting research at Notre Dame, adjacent to South Bend, Indiana, while collaborating with scientists at the PHI Lab in California. Recent work by Dr. Toroczkai related to this topic includes publications in Computer Physics Communications and Nature Communications. Like the PHI Lab itself, he brings to his research both domain expertise and a broad vision.

I work in the general area of complex systems research, bringing and developing tools from mathematics, equilibrium and non-equilibrium statistical physics, nonlinear dynamics and chaos theory to bear on problems in a range of disciplines, including the foundations of computing, said Dr. Toroczkai, who is also a concurrent professor in the Department of Computer Science and Engineering and co-director of the Center for Network and Data Science. This project with NTT Research is an exciting opportunity to engage in basic research that will bear upon the future of computing.

The NTT Research PHI Lab has now reached nine joint research projects as part of its long-range goal to radically redesign artificial neural networks, both classical and quantum. To advance that goal, the PHI Lab has established joint research agreements with six other universities, one government agency and one quantum computing software company. Those universities are California Institute of Technology (Caltech), Cornell University, Massachusetts Institute of Technology (MIT), Stanford University, Swinburne University of Technology and the University of Michigan. The government entity is NASA Ames Research Center in Silicon Valley, and the private company is 1Qbit in Canada. In addition to its PHI Lab, NTT Research has two other research labs: its Cryptography and Information Security (CIS) Lab and Medical and Health Informatics (MEI) Lab.

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Assistant Professor in Computer Science job with Indiana University | 286449 – The Chronicle of Higher Education

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The Luddy School of Informatics, Computing, and Engineering at Indiana University (IU) Bloomington invites applications for a tenure track assistant professor position in Computer Science to begin in Fall 2021. We are particularly interested in candidates with research interests in formal models of computation, algorithms, information theory, and machine learning with connection to quantum computation, quantum simulation, or quantum information science. The successful candidate will also be a Quantum Computing and Information Science Faculty Fellow supported in part for the first three years by an NSF-funded program that aims to grow academic research capacity in the computing and information science fields to support advances in quantum computing and/or communication over the long term. For additional information about the NSF award please visit: The position allows the faculty member to collaborate actively with colleagues from a variety of outside disciplines including the departments of physics, chemistry, mathematics and intelligent systems engineering, under the umbrella of the Indiana University funded "quantum science and engineering center" (IU-QSEc). We seek candidates prepared to contribute to our commitment to diversity and inclusion in higher education, especially those with experience in teaching or working with diverse student populations. Duties will include research, teaching multi-level courses both online and in person, participating in course design and assessment, and service to the School. Applicants should have a demonstrable potential for excellence in research and teaching and a PhD in Computer Science or a related field expected before August 2021. Candidates should review application requirements, learn more about the Luddy School and apply online at: For full consideration submit online application by December 1, 2020. Applications will be considered until the positions are filled. Questions may be sent to Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status.

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Assistant Professor in Computer Science job with Indiana University | 286449 - The Chronicle of Higher Education

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EU leaders to ask European Commission to name areas of strategic weakness – Reuters

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European Commission President Ursula von der Leyen gives her first State of the Union speech during a plenary session of European Parliament in Brussels, Belgium September 16, 2020. Olivier Hoslet/Pool via REUTERS

BRUSSELS (Reuters) - European Union leaders will ask the EU executive next week to name strategic areas where the bloc relies too much on countries such as China and the United States, and to propose ways to make it more independent, according to a document seen by Reuters.

In draft conclusions for a summit on Sept. 24-25, the member states leaders say they want European industry to be more competitive globally and to increase its autonomy and resilience.

The COVID-19 pandemic has highlighted the EUs dependence on Chinese components in the production of drugs, and concern is mounting that it is lagging the United States in the design and manufacture of batteries and in digital cloud storage.

The 27-nation bloc has set digital and green technologies as priorities, goals that were underlined in a state of the union speech on Wednesday by Ursula von der Leyen, President of the European Commission, the EU executive.

The bloc wants to finance the transformation to such technologies by using much of its 750-billion-euro ($890-dollar) fund for kick-starting the economy after the pandemic.

The draft conclusions - which could still be subject to change before the Brussels summit - show leaders would name the European Battery Alliance, the Internet of Things and Clean Hydrogen Alliance as projects for the EU to focus on.

They will also call for the development of new industrial alliances, including on raw materials, micro-processors, telecommunication networks, low-carbon industries, and Industrial Clouds and Platforms.

The leaders will also declare they want a significant part of the 1.8 trillion euros that will be available to EU countries under the blocs budget and recovery package over the next seven years to be invested in supercomputers and quantum computing, blockchain, human-centred Artificial Intelligence, microprocessors, 5G mobile networks or protection against cyber threats and secure communications.

Reporting by Jan Strupczewski and Gabriela Baczynska, Editing by John Chalmers and Timothy Heritage

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We Just Found Another Obstacle For Quantum Computers to Overcome – And It’s Everywhere – ScienceAlert

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Keeping qubits stable those quantum equivalents of classic computing bits will be key to realising the potential of quantum computing. Now scientists have found a new obstacle to this stability: natural radiation.

Natural or background radiation comes from all sorts of sources, both natural and artificial. Cosmic rays contribute to natural radiation, for example, and so do concrete buildings. It's around us all the time, and so this poses something of a problem for future quantum computers.

Through a series of experiments that altered the level of natural radiation around qubits, physicists have been able to establish that this background buzz does indeed nudge qubits off balance in a way that stops them from functioning properly.

"Our study is the first to show clearly that low-level ionising radiation in the environment degrades the performance of superconducting qubits," says physicist John Orrell, from the Pacific Northwest National Laboratory (PNNL).

"These findings suggest that radiation shielding will be necessary to attain long-sought performance in quantum computers of this design."

Natural radiation is by no means the most significant or the only threat to qubit stability, which is technically known as coherence everything from temperature fluctuations to electromagnetic fields can break the qubit 'spell'.

But the scientists say if we're to reach a future where quantum computers are taking care of our most advanced computing needs, then this interference from natural radiation is going to have to be dealt with.

It was after experiencing problems with superconducting qubit decoherence that the team behind the new study decided to investigate the possible problem with natural radiation. They found it breaks up a key quantum binding called a Cooper pair of electrons.

"The radiation breaks apart matched pairs of electrons that typically carry electric current without resistance in a superconductor," says physicist Brent VanDevender, from PNNL. "The resistance of those unpaired electrons destroys the delicately prepared state of a qubit."

Classical computers can be disrupted by the same issues that affect qubits, but quantum states are much more delicate and sensitive. One of the reasons that we don't have genuine full-scale quantum computers today is that no one can keep qubits stable for more than a few milliseconds at a time.

If we can improve on that, the benefits in terms of computing power could be huge: whereas classical computing bits can only be set as 1 or 0, qubits can be set as 1, 0 or both at the same time (known as superposition).

Scientists have been able to get it happening, but only for a very short space of time and in a very tightly controlled environment. The good news is that researchers like those at PNNL are committed to the challenge of figuring out how to make quantum computers a reality and now we know a bit more about what we're up against.

"Practical quantum computing with these devices will not be possible unless we address the radiation issue," says VanDevender. "Without mitigation, radiation will limit the coherence time of superconducting qubits to a few milliseconds, which is insufficient for practical quantum computing."

The research has been published in Nature.

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September 2nd, 2020 at 1:58 am

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Quantum Computing Market Is Booming Worldwide | D-Wave Systems, 1QB Information Technologies, QxBranch LLC and more – The Daily Chronicle

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Quantum Computing Market Is Booming Worldwide | D-Wave Systems, 1QB Information Technologies, QxBranch LLC and more - The Daily Chronicle

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September 2nd, 2020 at 1:58 am

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Tufts Joins Major Effort to Build the Next Generation of Quantum Computers – Tufts Now

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Tufts is joining a major U.S. Department of Energy (DOE) funded center called the Quantum Systems Accelerator (QSA), led by Lawrence Berkeley National Laboratory. The center hopes to create the next generation of quantum computers and apply them to the study of some of the most challenging problems in physics, chemistry, materials science, and more.

The QSA is one of five new DOE Quantum Information Science research centers announced on Aug. 26, and will be funded with $115 million over five years, supporting dozens of scientists at 15 institutions.

Peter Love, an associate professor of physics, will lead Tufts participation in the project. We have long been interested in using quantum computers for calculations in physics and chemistry, said Love.

A large-scale quantum computer would be a very powerful instrument for studying everything from the structure of large molecules to the nature and behavior of subatomic particles, he said. The only difficulty is that the quantum computers we need dont exist yet.

Quantum computers employ a fundamentally different approach to computing than those existing now, using quantum states of atoms, ions, light, quantum dots or superconducting circuits to store information.

The QSA will bring together world-class researchers and facilities to develop quantum systems that could significantly exceed the capability of todays computers. Multidisciplinary teams across all the institutions will work toward advancing qubit technologythe manner and materials in which information is stored in a quantum state, and other components of quantum computers.

Loves research will focus on developing simulation algorithms in areas such as particle and nuclear physics, which will be run by the new quantum computers. It is important to work hard on the algorithms now, so we are ready when the hardware appears, he said. Love is also part of a National Science Foundation-funded effort to develop a quantum computer and applications to run on it.

Quantum computing is an important and growing area of research at Tufts. Tom Vandervelde, an associate professor in electrical and computer engineering, Luke Davis, an assistant professor of chemistry, and Cristian Staii, an associate professor of physics, are exploring new materials capable of storing qubits.

Philip Shushkov, Charles W. Fotis Assistant Professor of Chemistry, has research focused on theoretical modeling of qubit materials, while Misha Kilmer, William Walker Professor of Mathematics, and Xiaozhe Hu, associate professor of mathematics, study quantum-inspired algorithms relevant to their research in linear algebra. Bruce Boghosian, professor of mathematics, also made some fundamental contributions to quantum simulation in the late 1990s.

Mike Silver can be reached at

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Tufts Joins Major Effort to Build the Next Generation of Quantum Computers - Tufts Now

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September 2nd, 2020 at 1:57 am

Posted in Quantum Computing

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