Quantum annealing (QA) is a cutting-edge algorithm that leverages the unique properties of quantum computing to tackle complex combinatorial optimization problems (a class of mathematical problems dealing with discrete-variable functions).
Theorists have successfully calculated the “heavy quark diffusion coefficient,” which describes how quickly a melted soup of quarks and gluons transfers its momentum to heavy quarks. The results show this transfer is very fast—at the limit of what quantum mechanics will allow.
Some types of quantum chromodynamics (QCD) calculations are so complex they strain even supercomputers. To speed these calculations, researchers developed MemHC, an optimized memory framework.
New exascale simulations, some of the most robust ever, could improve reactor design, driving down costs to build.
In the future, quantum computers may be able to solve problems that are far too complex for today’s most powerful supercomputers. To realize this promise, quantum versions of error correction codes must be able to account for computational errors faster than they occur.
Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers from the University of Eastern Finland teamed up with industry and supercomputers to carry out one of the world’s largest virtual drug screens.
Understanding big datasets requires better analytical models, says the Maria Goeppert Mayer Fellow.
PNNL is collaborating with Microsoft, Micron and other partners to make computational chemistry broadly available.
A team from Lawrence Livermore and seven other Department of Energy (DOE) national laboratories is a finalist for the new Association for Computing Machinery (ACM) Gordon Bell Prize for Climate Modeling for running an unprecedented high-resolution global atmosphere model on the world’s first exascale supercomputer.
Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.
A machine-learning algorithm demonstrated the capability to process data that exceeds a computer’s available memory by identifying a massive data set’s key features and dividing them into manageable batches that don’t choke computer hardware. Developed at Los Alamos National Laboratory, the algorithm set a world record for factorizing huge data sets during a test run on Oak Ridge National Laboratory’s Summit, the world’s fifth-fastest supercomputer. Equally efficient on laptops and supercomputers, the highly scalable algorithm solves hardware bottlenecks that prevent processing information from data-rich applications in cancer research, satellite imagery, social media networks, national security science and earthquake research, to name just a few.
Description of the three PPPL-led SciDAC collaborations that unite fusion scientists and and applied mathematicians to solve complex fusion problems through supercomputing.
A potentially game-changing theoretical approach to quantum computing hardware avoids much of the problematic complexity found in current quantum computers. The strategy implements an algorithm in natural quantum interactions to process a variety of real-world problems faster than classical computers or conventional gate-based quantum computers can.
Over the past decade, scientists have made tremendous progress in generating quantum phenomena in mechanical systems. What seemed impossible only fifteen years ago has now become a reality, as researchers successfully create quantum states in macroscopic mechanical objects.
New research from Q-MEEN-C shows that electrical stimuli passed between neighboring electrodes can also affect non-neighboring electrodes. Known as non-locality, this discovery is a crucial milestone toward creating brain-like computers with minimal energy requirements.
A collaboration of nuclear theorists has used supercomputers to predict the spatial distributions of charges, momentum, and other properties of "up" and "down" quarks within protons. The calculations show that the up quark is more symmetrically distributed and spread over a smaller distance than the down quark.
Roughly 30,000 data centers dot the landscape in the United States and Europe.
Michael DePhillips joined Brookhaven over 30 years ago to study ecological systems. After years seven at RHIC, he now manages intelligence work at the Lab. While they may seem different, there is a common thread connecting his many roles—computer code.
Bruno Schuler and his young team are embarking on an ambitious research project: He will selectively generate defects in atomically-thin semiconductor layers and attempt to measure and control their quantum properties with simultaneous picosecond temporal resolution and atomic precision. The resulting insights are expected to establish fundamental knowledge for future quantum computers.
Neuromorphic computers do not calculate using zeros and ones. They instead use physical phenomena to detect patterns in large data streams at blazing fast speed and in an extremely energy-efficient manner.
Superconductors - found in MRI machines, nuclear fusion reactors and magnetic-levitation trains - work by conducting electricity with no resistance at temperatures near absolute zero, or -459.67F. The search for a conventional superconductor that can function at room temperature has been ongoing for roughly a century, but research has sped up dramatically in the last decade because of new advances in machine learning (ML) using supercomputers such as Expanse at the San Diego Supercomputer Center (SDSC) at UC San Diego.
A set of nine scientific papers was released today in the Nature family of journals and the journal Cell Reports describing breakthroughs in creating an open framework for scientists to map the individual cells of the human body in two and three dimensions.
Over the past decade, teams of engineers, chemists and biologists have analyzed the physical and chemical properties of cicada wings, hoping to unlock the secret of their ability to kill microbes on contact. If this function of nature can be replicated by science, it may lead to products with inherently antibacterial surfaces that are more effective than current chemical treatments.
Experts across varied technology fields gathered at the Department of Energy’s Oak Ridge National Laboratory to collaborate on the future of geospatial systems at the Trillion-Pixel GeoAI Challenge workshop. The third iteration of this event focused on multimodal advances in the field, including progress in artificial intelligence, cloud infrastructure, high-performance computing and remote sensing.
Argonne National Laboratory is building one of the nation’s first exascale systems, Aurora. Aurora's Early Science Program, through the Argonne Leadership Computing Facility, tapped 15 research teams to get ready for launch. One team is using computational chemistry to accelerate the discovery of new catalysts.
A research group from Nagoya University has accurately simulated air turbulence occurring on clear days around Tokyo using Japan’s fastest supercomputer.
New research shows that a better understanding of the coupling between the quantum system and these vibrations can be used to mitigate loss.
Cornell scientists have revealed a new phase of matter in candidate topological superconductors that could have significant consequences for condensed matter physics and for the field of quantum computing and spintronics.
Using a combination of high-powered X-rays, phase-retrieval algorithms and machine learning, Cornell researchers revealed the intricate nanotextures in thin-film materials, offering scientists a new, streamlined approach to analyzing potential candidates for quantum computing and microelectronics, among other applications.
New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today’s noisy, intermediate-scale quantum computers for simulating quantum systems and other tasks better than classical digital computers, while also offering promise for optimizing quantum sensors.
A team of scientists from Ames National Laboratory in partnership with the Superconducting Quantum Materials and Systems Center, used the terahertz SNOM microscope, originally developed at Ames Lab, to investigate the interface and connectivity of a nano Josephson Junction that was fabricated by Rigetti Computing. The images they obtained with the terahertz microscope revealed a defective boundary in the nano junction that causes a disruption in the conductivity.
Today, it was announced that Rensselaer Polytechnic Institute will become the first university in the world to house an IBM Quantum System One. The IBM quantum computer, intended to be operational by January of 2024, will serve as the foundation of a new IBM Quantum Computational Center in partnership with Rensselaer Polytechnic Institute (RPI). By partnering, RPI’s vision is to greatly enhance the educational experiences and research capabilities of students and researchers at RPI and other institutions, propel the Capital Region into a top location for talent, and accelerate New York's growth as a technology epicenter.
Scientists have used a recently developed technique to improve predictions of the timing and intensity of the solar wind’s strikes, which sometimes disrupt telecommunications satellites and damage electrical grids.
The installation of Aurora’s 10,624th and final blade marks a major milestone for Argonne National Laboratory’s highly anticipated exascale supercomputer.
SMU (Southern Methodist University) is creating a federally-funded data warehouse to centralize data collection and support research into human trafficking in the United States.
Researchers from the University of Illinois Chicago used the Theta supercomputer at the Argonne Leadership Computing Facility to run simulations on and determine the molecular mechanisms behind the ways that new HIV antivirals could work.
Jason Orcutt of IBM provides an industry perspective on quantum simulation research at the Q-NEXT quantum research center and works to connect quantum information systems around the globe.
A new report lays out a comprehensive vision for the U.S. Department of Energy to drive breakthroughs in science, energy and national security by expanding capabilities in artificial intelligence and building on its high performance computing systems.
Theorists have calculated how quickly a melted soup of quarks and gluons—the building blocks of protons and neutrons—transfers its momentum to heavy quarks. The calculation will help explain experimental results showing heavy quarks getting caught up in the flow of matter generated in heavy ion collisions.
Stony Brook University will soon deploy a new High-Performance Computing (HPC) system built using new technologies launched this year by Hewlett Packard Enterprise (HPE) and Intel. Stony Brook is the first academic institution in the United States to set up this new HPC solution that uses the Intel Xeon CPU Max series on HPE ProLiant servers.
A University of Minnesota Twin Cities-led team has developed a more energy-efficient, tunable superconducting diode—a promising component for future electronic devices—that could help scale up quantum computers for industry and improve artificial intelligence systems.
Daniel Lidar, the Viterbi Professor of Engineering at USC and Director of the USC Center for Quantum Information Science & Technology, and first author Dr. Bibek Pokharel, a Research Scientist at IBM Quantum, achieved this quantum speedup advantage in the context of a “bitstring guessing game.” They managed strings up to 26 bits long, significantly larger than previously possible, by effectively suppressing errors typically seen at this scale. (A bit is a binary number that is either zero or one).
University of Washington researchers have discovered they can detect atomic "breathing," or the mechanical vibration between two layers of atoms, by observing the type of light those atoms emitted when stimulated by a laser. The sound of this atomic "breath" could help researchers encode and transmit quantum information.
The new findings challenge the conventional understanding of solar dynamics and could improve predictions of solar weather in the future
The Oak Ridge Leadership Computing Facility’s Matt Sieger has been named the project director for the OLCF-6 effort. This next OLCF undertaking will plan and build a world-class successor to the OLCF’s still-new exascale system, Frontier.
To overcome high-performance computing bottlenecks, a research team at PNNL proposed using graph theory, a mathematical field that explores relationships and connections between a number, or cluster, of points in a space.
Meta, the parent company of Facebook and Instagram, was fined a record 1.2 billion euros ($1.3 billion) and ordered to stop transferring data collected from Facebook users in Europe to the United States. Find the latest research and expert commentary on privacy issues and controversial business practices in the Business Ethics channel.
With the world’s first exascale supercomputing system now open to full user operations, research teams are harnessing Frontier’s power and speed to tackle some of the most challenging problems in modern science.The HPE Cray EX system at the Department of Energy’s Oak Ridge National Laboratory debuted in May 2022 as the fastest computer on the planet and first machine to break the exascale barrier at 1.
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.
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