Showing 13 results for Researcher: Tom L. Beck
November 3, 2025
6 MIN READ
ORNL, NVIDIA, and HPE are partnering to integrate quantum computing, AI, and high-performance computing using NVIDIA NVQLink and CUDA-Q, establishing a hybrid testbed at ORNL to advance quantum–classical convergence and scientific discovery.
August 29, 2025
5 MIN READ
The Department of Energy’s Oak Ridge National Laboratory hosted the first Oak Ridge Quantum Systems & Software Workshop on July 25, bringing together 75 participants from national laboratories, academia and industry. ORNL organizers launched the workshop as the first step toward building a unified software stack for quantum-classical hybrid computing.
August 29, 2025
6 MIN READ
A study by researchers at ORNL traces a blueprint for a software architecture that would integrate emerging quantum computers with the world’s fastest supercomputing systems. Finding an effective approach to pair the two vastly different computing platforms has become a prime focus for scientists seeking to tap quantum computing’s potential power.
July 9, 2025
6 MIN READ
More than a year ago, ORNL computational scientists raised concerns about the accuracy of using a 2-femtosecond time step in liquid water simulations. A new study confirms and deepens those concerns, revealing even greater potential for error than previously thought.
May 19, 2025
8 MIN READ
Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energy’s Lawrence Berkeley and Oak Ridge national laboratories.
October 23, 2024
3 MIN READ
Two papers led by researchers from ORNL received “Editor’s Choice” awards from the journal Future Generation Computer Systems. Both papers explored the possibilities of integrating quantum computing with high performance computing.
October 14, 2024
9 MIN READ
To bridge the gap between experimental facilities and supercomputers, experts from SLAC National Accelerator Laboratory are teaming up with other DOE national laboratories to build a new data streaming pipeline. The pipeline will allow researchers to send their data to the nation’s leading computing centers for analysis in real time even as their experiments are taking place.
September 18, 2024
6 MIN READ
The Oak Ridge Leadership Computing Facility welcomed users to an interactive meeting at the Department of Energy’s Oak Ridge National Laboratory from Sept. 10–11 for an opportunity to share achievements from the OLCF’s user programs and highlight requirements for the future.
September 10, 2024
23 MIN READ
As high-tech companies ramp up construction of massive data centers to meet the business boom in artificial intelligence, one component is becoming an increasingly rare commodity: electricity. Since its formation in 2004, the OLCF has fielded five generations of world-class supercomputing systems that have produced a nearly 2,000 times reduction in energy usage per floating point operation per second, or flops. With decades of experience in making HPC more energy efficient, the OLCF may serve as a resource for best “bang for the buck” practices in a suddenly burgeoning industry.
August 28, 2024
6 MIN READ
A study by more than a dozen scientists at the Department of Energy’s Oak Ridge National Laboratory examines potential strategies to integrate quantum computing with the world’s most powerful supercomputing systems in the pursuit of science.
May 6, 2024
9 MIN READ
Plans to unite the capabilities of two cutting-edge technological facilities funded by the Department of Energy’s Office of Science promise to usher in a new era of dynamic structural biology. Through DOE’s Integrated Research Infrastructure, or IRI, initiative, the facilities will complement each other’s technologies in the pursuit of science despite being nearly 2,500 miles apart.
May 6, 2024
6 MIN READ
Computational scientists at ORNL have published a study that questions a long-accepted factor in simulating the molecular dynamics of water: the 2 femtosecond time step. According to the team’s findings, using anything greater than a 0.5 femtosecond time step can introduce errors in both the dynamics and thermodynamics when simulating water using a rigid-body description.