The Korea Research Institute of Standards and Science(KRISS) paves the way for spintronics technology revolution by implementing the world’s first skyrmion transistors
At the 2023 AAAS Meeting in Washington, DC, experts discuss how the scientific community can make quantum information science more accessible and reach a wider base of innovators.
Paul Romatschke is a professor in the Department of Physics at the University of Colorado Boulder, and a fellow at the Center for Theory of Quantum Matter, also at the University of Colorado Boulder.
A University of Minnesota Twin Cities-led team has developed a first-of-its-kind breakthrough method that makes it easier to create high-quality metal oxide films that are important for various next generation applications such as quantum computing and microelectronics.
The theory of relativity works well when you want to explain cosmic-scale phenomena - such as the gravitational waves created when black holes collide. Quantum theory works well when describing particle-scale phenomena - such as the behavior of individual electrons in an atom.
No one will ever be able to see a purely mathematical construct such as a perfect sphere. But now, scientists using supercomputer simulations and atomic resolution microscopes have imaged the signatures of electron orbitals, which are defined by mathematical equations of quantum mechanics and predict where an atom’s electron is most likely to be.
A team of researchers led by Rensselaer Polytechnic Institute’s Trevor David Rhone, assistant professor in the Department of Physics, Applied Physics, and Astronomy, has identified novel van der Waals (vdW) magnets using cutting-edge tools in artificial intelligence (AI). In particular, the team identified transition metal halide vdW materials with large magnetic moments that are predicted to be chemically stable using semi-supervised learning.
Chaos congratulates Yuzuru Kato, Thomas Lilienkamp, and Tiemo Pedergnana for winning the journal’s 2022 Edward N. Lorenz Early Career Awards. Kato was recognized for introducing a definition of a phase function for quantum rhythmic systems, Lilienkamp was commended for developing a low-energy and safer approach to defibrillation, and Pedergnana was selected for work to better understand if and how an exact potential, which greatly simplifies analysis of the Langevin equation, can be found for a given system. The winners will split a $2,000 honorarium and are invited to contribute a perspective article to the journal.
Physicists have discovered “stacked pancakes of liquid magnetism” that may account for the strange electronic behavior of some layered helical magnets.
Columbia Engineering researchers have developed a new class of integrated photonic devices--“leaky-wave metasurfaces”--that convert light initially confined in an optical waveguide to an arbitrary optical pattern in free space. These are the first to demonstrate simultaneous control of all four optical degrees of freedom, setting a world record. Because they’re so thin, transparent, and compatible with photonic integrated circuits, they can be used to improve optical displays, LIDAR, optical communications, and quantum optics.
Experts in high-performance computing and data management are gathering in Norfolk next week for the 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP2023). Held approximately every 18 months, this high-impact conference will be held at the Norfolk Marriott Waterside in Norfolk, Va., May 8-12. CHEP2023 is hosted by the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility in nearby Newport News, Va. This is the first in-person CHEP conference to be held since 2019.
Today's computers are based on microprocessors that execute so-called gates. A gate can, for example, be an AND operation, i.e. an operation that adds two bits.
A “beautiful effect” predicted by quantum electrodynamics (QED) can explain the puzzling first observations of polarized X-rays emitted by a magnetar – a neutron star featuring a powerful magnetic field, according to a Cornell astrophysicist.
A team of scientists from the U.S. Department of Energy’s Ames National Laboratory demonstrated a way to advance the role of quantum computing in materials research with an adaptive algorithm for simulating materials. Quantum computers have potential capabilities far beyond today’s computers, and using an adaptive algorithm allows them to produce solutions quickly and accurately.
Some things are related, others are not. Suppose you randomly select a person from a crowd who is significantly taller than the average. In that case, there is a good chance that they will also weigh more than the average.
Experts in nuclear physics and quantum information have demonstrated the application of a photon-number-resolving system to accurately resolve more than 100 photons. The feat is a major step forward in capability for quantum computing development efforts. It also may enable quantum generation of truly random numbers, a long-sought goal for developing unbreakable encryption techniques for applications in, for instance, military communications and financial transactions.
A team of researchers has demonstrated the ultimate sensitivity allowed by quantum physics in measuring the time delay between two photons.
It has the potential to significantly improve the imaging of nanostructures, including biological samples, and nanomaterial surfaces.
In APL Energy, researchers developed a proof of concept for a superconducting highway that could transport vehicles and electricity, cooling the necessary superconductors with a pipeline of liquid hydrogen. Most magnetic levitation designs feature the superconductor inside the vehicle, which is suspended above a magnetic track. The authors decided to flip that arrangement upside down, putting the superconductor on the ground and giving each vehicle a magnet. The result is a system with multiple uses, placing it within the realm of affordability.
A project led by a group of researchers from Israel's Bar-Ilan University, in collaboration with TII - the Quantum Research Center in Abu Dhabi, United Arab Emirates, is advancing quantum computing by improving the performance of superconducting qubits, the basic computation units of a superconducting quantum processor. The improved qubit, called a tunable superconducting flux qubit, is a micron-sized superconducting loop where electrical current can flow clockwise or counterclockwise, or in a quantum superposition of both directions.
Researcher will discuss the study which involved a sleeping aid known as suvorexant that is already approved by the Food and Drug Administration (FDA) for insomnia, hints at the potential of sleep medications to slow or stop the progression of Alzheimer’s disease.
The quantum computers of today grew out of this binary paradigm, but in fact the physical systems that encode their quantum bits (qubit) often have the potential to also encode quantum digits (qudits), as recently demonstrated by a team led by Martin Ringbauer at the Department of Experimental Physics at the University of Innsbruck.
Andrew Lupini, a scientist and inventor at the Department of Energy’s Oak Ridge National Laboratory, has been elected Fellow of the Microscopy Society of America.
The Argonne Quantum Foundry, a new scientific facility at Argonne, is meeting a critical need for quantum science by providing a robust supply chain of materials for quantum devices and systems.
A team of UCR electrical engineers and material scientists demonstrated a research breakthrough that may result in wide-ranging advancements in electrical, optical, and computer technologies.
The new field of quantum information science has been growing across the U.S. and around the globe, and now it has been developed for students and scholars to study at Middle Tennessee State University.
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.
Zhonghou Cai is the 2023 recipient of the Gopal K. Shenoy Excellence in Beamline Science Award. The annual award recognizes active beamline scientists at the Advanced Photon Source for significant contributions to research or instrumentation and support of the beamline user community.
Today’s electric vehicles can drive about 300 miles per charge. Lithium-sulfur batteries have the potential for a driving range of more than 400 miles with practical capacities of up to 500 watt-hours per kilogram at the pack level, twice that of lithium-ion batteries. That has made it a prime target for researchers.
Florida State University will dedicate more than $20 million to quantum science and engineering over the next three years, funding that will support hiring at least eight new faculty members, equipment and dedicated space in the university’s Interdisciplinary Research and Commercialization Building, and seed money for a new program focused on this emerging field. FSU President Richard McCullough announced the investments at the first day of the university’s Quantum Science and Engineering Symposium last week.
A team at the Advanced Quantum Testbed at Berkeley Lab (in collaboration with UC Berkeley and Yale) developed an architectural blueprint for a novel quantum processor based on fluxonium qubits, which outperform the most widely used superconducting qubits. Furthermore, they simulated two types of logic gates to validate the performance of the proposed fluxonium blueprint.
With its Department of Energy National Quantum Information Science Research Center (Q-NEXT) and its quantum research team, Argonne is a hub for research that could change the way we process and transmit information.
The Quantum Systems Accelerator has issued an impact report that details progress made since the center launched in 2020. Highlights include a record-setting quantum sensor that could be used to hunt dark matter, a machine learning algorithm to correct qubit errors in real time, and the first observation of several exotic states of matter using a 256-atom quantum device.
Andrea Delgado, a Eugene P. Wigner Fellow at the Department of Energy’s Oak Ridge National Laboratory, is using quantum computing to help investigate the fundamental building blocks of the universe and to see whether there are particles yet to be found.
Researchers at Argonne National Laboratory and the University of Chicago explore the possibility of solving the electronic structures of complex molecules using a quantum computer.
An innovative new technique to detect and characterise molecules with greater precision has been proposed, paving the way for significant advances in environmental monitoring, medical diagnostics, and industrial processes.
Brenden Ortiz, a Wigner Distinguished Staff Fellow at the Department of Energy's Oak Ridge National Laboratory, is helping design the next generation of quantum materials.
By colliding protons with heavier ions and tracking particles from these collisions, scientists can study the quarks and gluons that make up protons and neutrons. Recent results revealed a suppression of certain back-to-back pairs of particles that emerge from interactions of single quarks from the proton with single gluons in the heavier ion. The results suggest that gluons in heavy nuclei recombine, a step toward proving that gluons reach a postulated steady state called saturation, where gluon splitting and recombination balance.
Nuclear physicists have found a new way to see inside nuclei by tracking interactions between particles of light and gluons. The method relies on harnessing a new type of quantum interference between two dissimilar particles. Tracking how these entangled particles emerge from the interactions lets scientists map out the arrangement of gluons. This approach is unusual for making use of entanglement between dissimilar particles—something rare in quantum studies.
On May 20 Argonne National Laboratory opens its doors to the public. Registration is required for this event, which features a full day of hands-on science activities, tours of cutting-edge research facilities, and more.
A model system created by stacking a pair of monolayer semiconductors is giving physicists a simpler way to study confounding quantum behavior, from heavy fermions to exotic quantum phase transitions.
Physicists at Delft University of Technology have built a new technology on a microchip by combining two Nobel Prize-winning techniques for the first time.
Scientists investigating a compound called “Y-ball” – which belongs to a mysterious class of “strange metals” viewed as centrally important to next-generation quantum materials – have found new ways to probe and understand its behavior.
The Stanford University postdoctoral researcher, a collaborator with the Q-NEXT quantum research center led by Argonne, develops high-tech materials to deliver photon packages of quantum information.
Research using a quantum computer as the physical platform for quantum experiments has found a way to design and characterize tailor-made magnetic objects using quantum bits, or qubits. That opens up a new approach to develop new materials and robust quantum computing.
Researchers show how energy disappears in quantum turbulence. The discovery paves way for a better understanding of turbulence in scales ranging from the microscopic to the planetary
Practical carbon capture technologies are still in the early stages of development, with the most promising involving a class of compounds called amines that can chemically bind with carbon dioxide. In AVS Quantum Science, researchers deploy an algorithm to study amine reactions through quantum computing. An existing quantum computer cab run the algorithm to find useful amine compounds for carbon capture more quickly, analyzing larger molecules and more complex reactions than a traditional computer can.
Associate Professor Jarryd Pla and his team from UNSW School of Electrical Engineering and Telecommunications, together with colleague Scientia Professor Andrea Morello, described a new device that can measure the spins in materials with high precision.
One of the first practical applications of the much-hyped but little-used quantum computing technology is now within reach, thanks to a unique approach that sidesteps the major problem of scaling up such prototypes.