Teams working on superconducting qubit platforms enable the simulation of complex phenomena and pave the way for versatile quantum systems. Their collaborative efforts are accelerating progress toward fault-tolerant quantum computing.
Over the past 100 days, the Department of Energy鈥檚 Office of Science has seen the pay off in results from decades of research investments and supported new efforts to move forward with cutting-edge technologies.
Scientists at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, have demonstrated a working capability that can radically accelerate the testing of qubits 鈥� the quantum computing equivalent of bits 鈥� accomplishing in a matter of minutes what has previously taken days or even weeks.
Researchers at Argonne National Laboratory are transforming cancer research by using AI and supercomputing to accelerate drug discovery and improve drug response predictions.
Free electron lasers have unique advantages of high power, wide frequency tunablility and et al, however, they face challenge in narrowing the spectral linewidth. Scientists in China proposed and realized the pump-induced stimulated superradiant Smith-Purcell radiation (PIS-SPR) and achieved an ultra-narrow spectral linewidth of 0.3 kHz at ~0.3 THz in a compact device.
Researchers have developed a new way to speed up quantum measurements, a vital building block for the next generation of quantum technologies.
The sigma meson exists only for a fleeting moment before decaying into a pair of pions, making it hard to study. Nuclear physicists recently combined modern supercomputer calculations with more traditional theoretical tools to study the sigma meson, producing the first accurate theoretical view of the sigma as a system of quarks and gluons. This will aid in understanding the role the sigma meson plays in proton-neutron interactions and other phenomena.
Scientists have developed a new fabrication technique that could improve noise robustness in superconducting qubits, a key technology to enabling large-scale quantum computers.
Kenneth Merz, PhD, of Cleveland Clinic's Center for Computational Life Sciences, and a research team are testing quantum computing鈥檚 abilities in chemistry through integrating machine learning and quantum circuits. Chemistry is one of the areas where quantum computing shows the most potential because of the technology鈥檚 ability to predict an unlimited number of possible outcomes. To determine quantum computing's ability to perform complex chemical calculations, Dr. Merz and Hongni Jin, PhD, decided to test its ability to simulate proton affinity, a fundamental chemical process that is critical to life. Dr. Merz and Dr. Jin focused on using machine learning applications on quantum hardware. This is a critical advantage over other quantum research which relies on simulators to mimic a quantum computer鈥檚 abilities. In this study, published in the Journal of Chemical Theory and Computation, the team was able to demonstrate the capabilities of quantum machine learning by creating a
The Dark Energy Spectroscopic Instrument used millions of galaxies and quasars to build the largest 3D map of our universe to date. Combining the DESI data with other experiments shows signs that the impact of dark energy may be weakening over time 鈥� and the standard model of how the universe works may need an update.
A new data release from the Dark Energy Spectroscopic Instrument is now available for researchers to explore. The collection contains information on 18.7 million galaxies, quasars, and stars 鈥� the largest dataset of its kind ever shared.
A workshop led by scientists at the Department of Energy鈥檚 Oak Ridge National Laboratory sketched a road map toward a longtime goal: development of autonomous, or self-driving, next-generation research laboratories.Scientists have dreamed for generations of high-tech laboratories operated via robotics at the push of a button.
Using the Frontier supercomputer at the Department of Energy鈥檚 Oak Ridge National Laboratory, researchers have developed a new technique that predicts nuclear properties in record detail.
Researchers have developed a new optical computing material from photon-avalanching nanoparticles. The breakthrough offers a path toward realizing smaller, faster components for next-generation computers.
In real life, mutants can arise when their DNA changes to give them an advantage over the rest of the population. A team from the University of Michigan has used simulations on the Pittsburgh Supercomputing Center鈥檚 Neocortex system to find out why beneficial mutants rarely come to dominate real organisms.
Electronics and Telecommunications Research Institute (ETRI) announced that it has developed an accelerator system-on-chip (SoC) named 鈥楰-AB21鈥�. The accelerator chip developed by the researchers measures 77mm x 67mm, and is fabricated through the 12-nanometer process.
Los Alamos National Laboratory partners with OpenAI to advance national security
With its Aurora exascale supercomputer, Argonne National Laboratory is providing researchers with a powerful tool to accelerate discoveries across many fields, including biology, chemistry and AI for science.
As part of the Aurora Early Science Program, an Argonne team is using the lab鈥檚 new Aurora exascale supercomputer and AI tools to perform simulations of the universe that aim to shed light on dark matter and dark energy.
Neuromorphic computing鈥攁 field that applies principles of neuroscience to computing systems to mimic the brain鈥檚 function and structure鈥攏eeds to scale up if it is to effectively compete with current computing methods. In a review published Jan. 22 in the journal Nature, 23 researchers, including two from the University of California San Diego, present a detailed roadmap of what needs to happen to reach that goal.
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