PPPL unveils new laboratory space to advance quantum information science

On March 11, PPPL opened its new Quantum Diamond Lab, a space devoted to studying and refining the processes involved in using plasma, the electrically charged fourth state of matter, to create high-quality diamond material for quantum information science applications.

How Scientists Are Accelerating Next-Gen Microelectronics

In a new Q&A, microelectronics expert and CHiPPS Director Ricardo Ruiz shares his perspective on keeping pace with Moore’s Law in the decades to come through a revolutionary technique called extreme ultraviolet lithography.

Rensselaer Polytechnic Institute Plans to Deploy First IBM Quantum System One on a University Campus

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.

Jefferson Lab Hosts International Computing in High Energy and Nuclear Physics Conference

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.

Five Ways QSA is Advancing Quantum Computing

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.

Department of Energy Announces $78 Million for Research in High Energy Physics

Today, the U.S. Department of Energy (DOE) announced $78 million in funding for 58 research projects that will spur new discoveries in high energy physics. The projects—housed at 44 colleges and universities across 22 states—are exploring the fundamental science about the universe that also underlies technological advancements in medicine, computing, energy technologies, manufacturing, national security, and more.

Flawed AI Makes Robots Racist, Sexist

The work, led by Johns Hopkins University, the Georgia Institute of Technology, and University of Washington researchers, is believed to be the first to show that robots loaded with an accepted and widely used model operate with significant gender and racial biases. The work is set to be presented and published this week at the 2022 Conference on Fairness, Accountability, and Transparency.

U.S. Department of Energy to Showcase National Lab Expertise at SC21

The scientific computing and networking leadership of the U.S. Department of Energy’s (DOE’s) national laboratories will be on display at SC21, the International Conference for High-Performance Computing, Networking, Storage and Analysis. The conference takes place Nov. 14-19 in St. Louis via a combination of on-site and online resources.

Researchers Develop Novel Analog Processor for High Performance Computing

Analog photonic solutions offer unique opportunities to address complex computational tasks with unprecedented performance in terms of energy dissipation and speeds, overcoming current limitations of modern computing architectures based on electron flows and digital approaches.  In a new study published…

Department of Energy Announces $15.1 Million for Integrated Computational and Data Infrastructure for Science Research

The U.S. Department of Energy (DOE) announced $15.1 million for three collaborative research projects, at five universities, to advance the development of a flexible multi-tiered data and computational infrastructure to support a diverse collection of on-demand scientific data processing tasks and computationally intensive simulations.

Main Attraction: Scientists Create World’s Thinnest Magnet

Scientists at Berkeley Lab and UC Berkeley have created an ultrathin magnet that operates at room temperature. The ultrathin magnet could lead to new applications in computing and electronics – such as spintronic memory devices – and new tools for the study of quantum physics.

Quantum material’s subtle spin behavior proves theoretical predictions

Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.

Coalition’s new leadership renews focus on advocating for academic scientific computation

The Coalition for Academic Scientific Computation, or CASC — a network of more than 90 research computing-focused organizations from academic institutions, national labs, and research centers around the U.S. — hopes to continue to bring this critical computing work to the forefront through its activities. Newly elected leadership and recent changes within CASC are helping the nonprofit organization excel in this mission.

Coffea speeds up particle physics data analysis

The prodigious amount of data produced at the Large Hadron Collider presents a major challenge for data analysis. Coffea, a Python package developed by Fermilab researchers, speeds up computation and helps scientists work more efficiently. Around a dozen international LHC research groups now use Coffea, which draws on big data techniques used outside physics.

Nikhil Tiwale: Practicing the Art of Nanofabrication

Applying his passions for science and art, Nikhil Tiwale—a postdoc at Brookhaven Lab’s Center for Functional Nanomaterials—is fabricating new microelectronics components.

Four Rutgers Professors Named AAAS Fellows

Four Rutgers professors have been named fellows of the American Association for the Advancement of Science (AAAS), an honor given to AAAS members by their peers. They join 485 other new AAAS fellows as a result of their scientifically or socially distinguished efforts to advance science or its applications. A virtual induction ceremony is scheduled for Feb. 13, 2021.

Globus Moves 1 Exabyte

Globus, a leading research data management service, reached a huge milestone by breaking the exabyte barrier. While it took over 2,000 days for the service to transfer the first 200 petabytes (PB) of data, the last 200PB were moved in just 247 days. This rapidly accelerating growth is reflected by the more than 150,000 registered users who have now transferred over 120 billion files using Globus.

Scientists develop forecasting technique that could help advance quest for fusion energy

An international group of researchers has developed a technique that forecasts how tokamaks might respond to unwanted magnetic errors. These forecasts could help engineers design fusion facilities that create a virtually inexhaustible supply of safe and clean fusion energy to generate electricity.

White House Office of Technology Policy, National Science Foundation and Department of Energy Announce Over $1 Billion in Awards for Artificial Intelligence and Quantum Information Science Research Institutes

Today, the White House Office of Science and Technology Policy, the National Science Foundation (NSF), and the U.S. Department of Energy (DOE) announced over $1 billion in awards for the establishment of 12 new artificial intelligence (AI) and quantum information science (QIS) research institutes nationwide.

Photon-Based Processing Units Enable More Complex Machine Learning

Machine learning performed by neural networks is a popular approach to developing artificial intelligence, as researchers aim to replicate brain functionalities for a variety of applications. A paper in the journal Applied Physics Reviews proposes a new approach to perform computations required by a neural network, using light instead of electricity. In this approach, a photonic tensor core performs multiplications of matrices in parallel, improving speed and efficiency of current deep learning paradigms.

Preparing for exascale: LLNL breaks ground on computing facility upgrades

To meet the needs of tomorrow’s supercomputers, the National Nuclear Security Administration’s (NNSA’s) Lawrence Livermore National Laboratory (LLNL) has broken ground on its Exascale Computing Facility Modernization (ECFM) project, which will substantially upgrade the mechanical and electrical capabilities of the Livermore Computing Center.