After 20 years of trying, scientists doped a 1D copper oxide chain and found a surprisingly strong attraction between electrons that may factor into the material’s superconducting powers.
An experiment to study gravity at the quantum scale, insights into an antibiotic-building enzyme, and the backstory of an incredible new protein prediction algorithm are featured in this month's roundup of science highlights.
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.
Quantum computers become ever more powerful, but how can we be sure that the answers they return are accurate? A team of physicists from Vienna, Innsbruck, Oxford, and Singapore solves this problem by letting quantum computers check each other.
In a new review article in Nature Photonics, scientists from Los Alamos National Laboratory assess the status of research into colloidal quantum dot lasers with a focus on prospective electrically pumped devices, or laser diodes.
Physicists and engineers have found a way to identify and address imperfections in materials for one of the most promising technologies in commercial quantum computing.
In AVS Quantum Science, investigators outline how a time-sensitive network control plane could be a key component of a workable quantum network. In addition to the well-understood requirements of transmission distance and data rate, for quantum networks to be useful in a real-world setting there are at least two other requirements that need to be considered. One is real-time network control, specifically time-sensitive networking. The second is cost.
Researchers have made the first direct observation of how hydrogen atoms in water molecules tug and push neighboring water molecules when they are excited with laser light.
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.
Three Argonne projects have received DOE funding to lay the groundwork for future breakthroughs in quantum information science.
Expert Q&A: Do breakthrough cases mean we will soon need COVID boosters? The extremely contagious Delta variant continues to spread, prompting mask mandates, proof of vaccination, and other measures. Media invited to ask the experts about these and related topics.
Scientists at Berkeley Lab and UC Berkeley have taken the clearest picture yet of electronic particles that make up a mysterious magnetic state called quantum spin liquid (QSL). The achievement could facilitate the development of superfast quantum computers and energy-efficient superconductors.
A Florida State University researcher is leading a $4.4 million Department of Energy project to help create software that can take advantage of supercomputer capabilities and advance quantum information science.
Cornell researchers and their collaborators will continue to advance quantum science and technology thanks to $5.4 million in new funding from the U.S. Department of Energy (DOE).
Katie Sautter, a postdoctoral scientist at Argonne National Laboratory, is building new, exquisite, atomically engineered materials that will be used for quantum communication. Her work is part of Q-NEXT, a DOE National Quantum Information Science Research Center.
As reported in a new article in Nature Reviews Physics, instead of waiting for fully mature quantum computers to emerge, Los Alamos National Laboratory and other leading institutions have developed hybrid classical/quantum algorithms to extract the most performance—and potentially quantum advantage—from today’s noisy, error-prone hardware.
Scientists demonstrated that ultrathin films of samarium nickel oxide can mask the thermal radiation emitted by hot materials. This is due to the material undergoing a gradual transition from insulator to conductor. This study shows that quantum materials such as samarium nickel oxide can manage thermal radiation with potential applications in infrared camouflage, privacy shielding, and heat transfer control.
Q-NEXT adds two new corporate partners to its collaboration: Verizon and Zurich Instruments. Q-NEXT, a DOE National Quantum Information Science Research Center led by Argonne, aims to develop the technology to control and transmit quantum information.
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.
The U.S. Department of Energy (DOE) announced recently $73 million in funding to advance quantum information science research to aid in better understanding the physical world and harness nature to benefit people and society. Aaron Rury, Ph.D., assistant professor of chemistry in Wayne State’s College of Liberal Arts and Science, is the recipient of one of 29 projects funded by the DOE.
New research paves the way to a systematic way to design quantum algorithms that outperform conventional algorithms. The research involves logic gates, the fundamental building blocks of conventional digital computing and quantum computing systems. This new research is the first attempt to determine the number of logic gates that quantum states need to process information.
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Chaos, to a point: A new Cornell-led study confirms the chaotic behavior of electrons in “strange” metals has a limit established by the laws of quantum mechanics.
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.
A team of scientists at Los Alamos National Laboratory propose that modulated quantum metasurfaces can control all properties of photonic qubits, a breakthrough that could impact the fields of quantum information, communications, sensing and imaging, as well as energy and momentum harvesting. The results of their study were released yesterday in the journal Physical Review Letters, published by the American Physical Society.
The U.S. Department of Energy (DOE) today announced $28 million in funding for five research projects to develop software that will fully unleash the potential of DOE supercomputers to make new leaps in fields such as quantum information science and chemical reactions for clean energy applications.
Scientist demonstrated a new way of observing atoms as they move in a tiny quantum electronic switch as it operates. Along the way, they discovered a new material state that could pave the way for faster, more energy-efficient computing.
The quantum movements of a small glass sphere could be controlled for the first time in Vienna by combining microscopy with control engineering, setting the course for future quantum technologies.A football is not a quantum particle. There are crucial differences between the things we know from everyday life and tiny quantum objects.
Scientists have devised a means of achieving improved information processing with a new technology for effective gate operation. This technology has applications in classical electronics as well as quantum computing, communications and sensing.
Highlights of the two-hour visit included behind-the-scenes looks at one of the most powerful X-ray sources on the planet and at the construction of the world’s largest digital camera for astronomy. She also joined presentations of the lab’s research in machine learning, quantum technology and climate science and engaged in discussions about diversity, equity and inclusion at SLAC.
Aluminum-26 has a quantum state difficult to study in a lab. Scientists instead use ion beam-target interactions to create an environment that adds a neutron to the radioactive isotope Silicon-26 to study excited quantum states in Silicon-27. This approach is possible because of the symmetry between protons and neutrons. This provides rare insight into processes in stars.
Researchers from the National University of Singapore have come up with two new ways to protect quantum communications from attacks - the first is an ultra-secure cryptography protocol, and the other is a first-of-its-kind quantum power limiter device. These two approaches hold promise to ensure information systems used for critical services such as banking and healthcare can hold up any potential future attacks.
New research shows how it is possible to create heavy fermions with cheap, non-radioactive materials. To do this, the researchers used graphene.
An interdisciplinary team of Cornell and Harvard University researchers developed a machine learning tool to parse quantum matter and make crucial distinctions in the data, an approach that will help scientists unravel the most confounding phenomena in the subatomic realm.
High-performance computer users in the market for a quantum annealing machine or looking for ways to get the most out of one they already have will benefit from a new, open-source software tool for evaluating these emerging platforms at the individual qubit level.
Research from the McKelvey School of Engineering at Washington University in St. Louis has found a missing piece in the puzzle of optical quantum computing. Jung-Tsung Shen, associate professor in the Department of Electrical & Systems Engineering, has developed a deterministic, high-fidelity two-bit quantum logic gate that takes advantage of a new form of light.
Researchers from China present the fastest real-time quantum random number generators to date to make the devices quicker and more portable. The device combines a state-of-the-art photonic integrated chip with optimized real-time postprocessing for extracting randomness from quantum entropy source of vacuum states.
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 has selected Iowa State's Srimoyee Sen for an early career award that will help her study nuclear physics and quantum phenomena. The research could lead to the discovery of new materials that could one day contribute to speedy quantum computing or other applications.
An international team of physicists led by the University of Minnesota has discovered that a unique superconducting metal is more resilient when used as a very thin layer. The research is the first step toward a larger goal of understanding unconventional superconducting states in materials, which could possibly be used in quantum computing in the future.
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.
The phenomenon of quantum nonlocality defies our everyday intuition. It shows the strong correlations between several quantum particles some of which change their state instantaneously when the others are measured, regardless of the distance between them. While this phenomenon has been confirmed for slow moving particles, it has been debated whether nonlocality is preserved when particles move very fast at velocities close to the speed of light, and even more so when those velocities are quantum mechanically indefinite.
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In research published today in Nature Communications, engineers from Rensselaer Polytechnic Institute demonstrated how, when the TMDC materials they make are stacked in a particular geometry, the interaction that occurs between particles gives researchers more control over the devices’ properties. Specifically, the interaction between electrons becomes so strong that they form a new structure known as a correlated insulating state. This is an important step, researchers said, toward developing quantum emitters needed for future quantum simulation and computing.
Using an ultrafast transmission electron microscope, researchers from the Technion - Israel Institute of Technology have, for the first time, recorded the propagation of combined sound and light waves in atomically thin materials.
Researchers have discovered a new electronic property at the frontier between the thermal and quantum sciences in a specially engineered metal alloy – and in the process identified a promising material for future devices that could turn heat on and off with the application of a magnetic “switch.”
Scientists at Empa and EPFL have identified a new type of defect as the most common source of disorder in on-surface synthesized graphene nanoribbons, a novel class of carbon-based materials that may prove extremely useful in next-generation electronic devices. The researchers identified the atomic structure of these so-called "bite" defects and investigated their effect on quantum electronic transport. These kinds of defective zigzag-edged nanoribbons may provide suitable platforms for certain applications in spintronics.
In an open access paper published in Science Advances, Johns Hopkins physicists and colleagues at Rice University, the Vienna University of Technology (TU Wien), and the National Institute of Standards and Technology (NIST), present experimental evidence of naturally occurring quantum criticality in a material.
Researchers from Georgia Tech and the University of Tennessee–Knoxville uncovered hidden and unexpected quantum behavior in a simple iron-iodide material (FeI2) discovered almost a century ago. The new insights were enabled using neutron scattering experiments and theoretical physics calculations at the Department of Energy’s Oak Ridge National Laboratory. The team’s findings solves a 40-year-old puzzle about the material’s mysterious behavior and could be used as a map to unlock a treasure trove of quantum phenomena in other materials.
A new theorem from the field of quantum machine learning has poked a major hole in the accepted understanding about information scrambling.
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