Researchers have discovered new properties of tiny magnetic whirlpools called skyrmions. Their pivotal discovery could lead to a new generation of microelectronics for memory storage with vastly improved energy efficiency.
Skyrmions and bimerons are fundamental topological spin textures in magnetic thin films with asymmetric exchange interactions and they can be used as information carrier for next generation low energy consumption memory, advanced neuromorphic computing, and advanced quantum computing as they have multiple degrees of freedom that can carry information.
Researchers at the University of Chicago’s Pritzker School of Molecular Engineering (PME) have discovered a new material, MnBi6Te10, which can be used to create quantum highways along which electrons can move. These electron thoroughfares are potentially useful in connecting the internal components of powerful, energy-efficient quantum computers.
Demand is growing for technologies to cool buildings. Now, researchers report in ACS Energy Letters that they have used advanced computing technology and artificial intelligence to design a transparent window coating that could lower the temperature inside buildings, without expending energy.
The U.S. Department of Energy (DOE), in coordination with Oak Ridge National Laboratory, today held a groundbreaking for the Stable Isotope Production and Research Center (SIPRC), which will expand the nation’s capability to enrich stable isotopes for medical, industrial, and research applications.
Since 2018, Berkeley Lab’s Advanced Quantum Testbed (AQT) has led several scientific breakthroughs in quantum computing across various areas. AQT also operates an open-access experimental testbed designed for deep collaboration with external users from academia, national Laboratories, and industry.
In celebration of Hispanic Heritage – Latin American Heritage Month, 5 QSA-affiliated scientists described how they pivoted to quantum information science (QIS) and technology, and why they’re excited about the opportunities for scientific discovery. Featuring Ana Maria Rey, Pablo Poggi, Sergio Cantu, Elmer Guardado Sanchez, and Diego Barberena.
QSA (Quantum Systems Accelerator) is a National QIS Research Center funded by the U.S. Department of Energy (DOE). Berkeley Lab leads QSA with Sandia National Laboratories as the lead partner. QSA is composed of 15 member institutions in the United States and Canada.
Cleveland Clinic and IBM have begun deployment of the first private sector onsite, IBM-managed quantum computer in the United States. The IBM Quantum System is to be located on Cleveland Clinic’s main campus in Cleveland.
The first quantum computer in healthcare, anticipated to be completed in early 2023, is a key part of the two organizations’10-year partnership aimed at fundamentally advancing the pace of biomedical research through high-performance computing. Announced in 2021, the Cleveland Clinic-IBM Discovery Accelerator is a joint center that leverages Cleveland Clinic’s medical expertise with the technology expertise of IBM, including its leadership in quantum computing.
Two milliseconds – or two thousandths of a second – is an extraordinarily long time in the world of quantum computing.
Cleveland Clinic has been selected as a founding partner and the leading healthcare system in a new initiative meant to spur collaboration and innovation in the quantum computing industry.
Based in Greater Washington, D.C., Connected DMV and a cross-sector coalition of partners are developing the new Life Sciences and Healthcare Quantum Innovation Hub to prepare the industry for the burgeoning quantum era and align with key national and global efforts in life sciences and quantum technologies.
Advancing extreme-scale science is essential to the enhancement of many applications in computational science. Supartha Podder, PhD, of Stony Brook University, who studies quantum advantages in solving computational tasks, received a two-year DOE grant to study the power of quantum witnesses.
Today, the U.S. Department of Energy (DOE) announced $15 million in funding for basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science. The projects will address disruptive technology changes from emerging trends in high-end computing, massive datasets, artificial intelligence, and increasingly heterogeneous architectures such as neuromorphic and quantum computing systems.
A team of researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and Stony Brook University have devised a new quantum algorithm to compute the lowest energies of molecules at specific configurations during chemical reactions, including when their chemical bonds are broken.
An ultrathin invention could make future computing, sensing and encryption technologies remarkably smaller and more powerful by helping scientists control a strange but useful phenomenon of quantum mechanics, according to new research recently published in the journal Science.
In order to effectively use a quantum computer, a larger number of specially prepared – in technical terms: entangled – basic building blocks are needed to carry out computational operations.
The DOE National Quantum Information Science Research Centers are a collective force for quantum research in the United States, driving scientific innovation, building a quantum ecosystem and fostering the future quantum workforce.
Training the next generation of researchers on advanced computing is imperative, but resources for them are limited. That training gap is what inspired the Brookhaven National Laboratory-led Co-design Center for Quantum Advantage (C2QA) to design the QIS101 quantum computing summer school program.
Recent research proves that under certain conditions, quantum annealing computers can run algorithms—including the well-known Shor’s algorithm—more quickly than classical computers. In most cases, however, quantum annealing does not provide a speed-up compared to classical computing when time is limited, according to a study in Nature Communications.
The U.S. Department of Energy (DOE) today announced a plan to provide $19 million for small businesses pursuing climate and energy research and development (R&D) projects as well the development of advanced scientific instrumentation through a funding opportunity announcement. The projects range from atmospheric science and critical materials to advanced computing and accelerator technologies.
A new research project, funded by an Department of Energy Early Career Research Program Award, will help quantum computer scientists write better programs that fail less often.
We all learn from early on that computers work with zeros and ones, also known as binary information.
In work applicable to super-fast quantum computing and quantum optics, undergraduate research by a recent graduate in physics and mathematics at The University of Alabama in Huntsville (UAH) has simplified a difficult mathematical problem to further illuminate the behavior of two-level quantum optical systems.
A profile of Bo Peng, a scientist at PNNL working on error correction for quantum computing. He is a collaborator with Q-NEXT, one of the DOE National QIS Research Centers.
The University of Illinois Chicago has been selected to join the Co-design Center for Quantum Advantage, a U.S. Department of Energy-funded center focused on building the tools necessary to create scalable, distributed and fault-tolerant quantum computer systems.
Atoms do weird things when forced out of their comfort zones. Rice University engineers have thought up a new way to give them a nudge.
Scientists have created the first ”time-crystal” two-body system in an experiment that seems to bend the laws of physics.
A theoretical breakthrough in understanding quantum chaos could open new paths into researching quantum information and quantum computing, many-body physics, black holes, and the still-elusive quantum to classical transition.
Quantum computers are prone to errors that limit their usefulness in scientific research. While error correction would be the ideal solution, it is not yet feasible due to the number of qubits needed. New research shows the value of an error mitigation approach called noise estimation circuits for improving the reliability of quantum computer simulations.
A team led by researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory, in close collaboration with FAMU-FSU College of Engineering Associate Professor of Mechanical Engineering Wei Guo, has announced the creation of a new qubit platform that shows great promise to be developed into future quantum computers. Their work is published in Nature.
Quantum computing holds the potential to be a game-changing future technology in fields ranging from chemistry to cryptography to finance to pharmaceuticals.
A research team led by the Georgia Tech Research Institute (GTRI) was recently selected for second-phase funding of a $9.2 million project aimed at demonstrating a hybrid computing system that will combine the advantages of classical computing with those of quantum computing to tackle some of the world’s most difficult optimization problems.
In a test of the photon entanglement that makes quantum communication possible, researchers built a quantum local area network (QLAN) that shared information among three systems in separate buildings. The team used a protocol called remote state preparation, where a successful measurement of one half of an entangled photon pair converts the other photon to the preferred state. The researchers performed this conversion across all the paired links in the QLAN—a feat not previously accomplished on a quantum network.
Researchers discovered that light can trigger a form of magnetism in a normally nonmagnetic material. This magnetism centers on the behavior of electron “spin.” By controlling & aligning electron spin at this level of detail & accuracy, this platform could have applications in quantum computing & simulation.
• A university-industry collaboration has successfully run a quantum algorithm on a type of quantum computer known as a cold atom quantum computer for the first time. The achievement by the team of scientists from the University of Wisconsin¬–Madison, ColdQuanta and Riverlane brings quantum computing one step closer to being used in real-world applications.
Scientists at the U.S. Department of Energy’s Ames Laboratory have developed computational quantum algorithms that are valuable tools to gain greater insight into the physics and chemistry of complex materials, and they are specifically designed to work on existing and near-future quantum computers.
Quantum states of particles are very fragile. The quantum bits, or qubits, that underpin quantum computing pick up errors very easily and are damaged by the environment of the everyday world. Fortunately, we know in principle how to correct for…
In a newly funded project, Argonne and the University of Illinois Urbana-Champaign will explore coupling magnetism and microwaves. This research will yield new insights that should benefit quantum sensing, data transfer and computing.
Bilayer graphene with one of the two layers twisted displayed unique resonant electronic behavior. Understanding how electrons move in such 2-D materials could shed light on how to manipulate them for quantum computing and communication.
Researchers have for the first time used a quantum computer to generate accurate results from materials science simulations that can be verified with practical techniques. Eventually, such simulations on quantum computers could be more accurate and complex than simulations on classical digital computers.
Story tips: Sensing oil leaks, 3D prints in space, more fuel from ethanol, Arctic modeling boost, making isotopes faster and nano-enabled microscopy
The U.S. Department of Energy (DOE) announced $73 million in funding to advance quantum information science (QIS) research to help scientists better understand the physical world and harness nature to benefit people and society.
The University of Rhode Island will host more than a dozen international experts in the growing field of quantum information science in October for the inaugural Frontiers in Quantum Computing conference in celebration of the launch of URI’s new master’s degree program in quantum computing.
New research shows how it is possible to create heavy fermions with cheap, non-radioactive materials. To do this, the researchers used graphene.
Since its founding, Argonne has employed and partnered with innovators whose contributions have dramatically pushed the frontiers of our understanding and improved the world.
Particle physics peers into the mysteries of our cosmos while opening the door to future technologies. Research into the Higgs boson, dark energy, and quantum physics reveals insights into the universe and enables innovation in other fields.
States of local broken symmetry at high temperature—observed in several materials, including one with a metal-insulator transition, an iron-based superconductor, and an insulating mineral part of the Earth’s upper mantle—may enable the technologically relevant properties arising at much-lower temperature.
The U.S. Department of Energy (DOE) today announced $22 million in funding for nine projects covering a range of energy research topics from grid integration, solar energy, wind energy, and advanced manufacturing.
Quantum computers could outperform classical computers at many tasks, but only if the errors that are an inevitable part of computational tasks are isolated rather than widespread events. Now, researchers at the University of Wisconsin–Madison have found evidence that errors are correlated across an entire superconducting quantum computing chip — highlighting a problem that must be acknowledged and addressed in the quest for fault-tolerant quantum computers.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate.
Five new innovators will be joining Chain Reaction Innovations, the entrepreneurship program at Argonne National Laboratory, as part of the elite program’s fifth cohort to develop clean energy startups that will reduce greenhouse gas emissions and increase U.S. competitiveness in emerging energy technologies.