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Berkeley Lab to Build an Advanced Quantum Testbed

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Berkeley Lab will receive $30 million over five years to build and operate an Advanced Quantum Testbed. Researchers will use the testbed to explore superconducting quantum processors and evaluate how these emerging quantum devices can be utilized to advance scientific research. » Read More

Pushing Frontiers of Quantum Information Science

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A series of DOE Office of Science awards, announced today, will enable Berkeley Lab to accelerate the development of quantum computing. Berkeley Lab Computing Sciences staff will play leading roles in three of the awards. » Read More

CRD's Ushizima Speaks at the Biden Cancer Summit

Biden Summit

Dani Ushizima, a staff scientist in the Computational Research Division who has adapted algorithms used in materials research to scan for cervical cancer, described her research in a panel discussion at the Sept. 21 East Bay Biden Cancer Community Summit. » Read More

News

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Berkeley Lab to Build an Advanced Quantum Computing Testbed

September 24, 2018

The U.S. Department of Energy announced that Berkeley Lab will receive $30 million over five years to build and operate an Advanced Quantum Testbed (AQT). Researchers will use the testbed to explore superconducting quantum processors and evaluate how these emerging quantum devices can be utilized to advance scientific research.

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Berkeley Lab to Push Quantum Information Frontiers With New Programs in Computing, Physics, Materials, and Chemistry

September 24, 2018

A series of DOE Office of Science awards, announced today, will enable Berkeley Lab to accelerate the development of quantum computing. Berkeley Lab Computing Sciences staff will play leading roles in three of the awards.


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At Biden Summit, CRD's Ushizima Discusses Using Machine Learning to Improve Cancer Detection

September 24, 2018

Dani Ushizima, a staff scientist in the Computational Research Division who has adapted algorithms used in materials research to scan for cervical cancer, described her research in a panel discussion at the Sept. 21 East Bay Biden Cancer Community Summit.

computationtools 2018 best paper award

Berkeley Lab Researchers Co-Author IARIA’s Best Paper

September 23, 2018

A paper co-authored by Berkeley Lab’s Esmond Ng and Chao Yang won best paper at this year’s International Academy, Research, and Industry Association’s (IARIA’s) Computation Tools 2018 conference in Barcelona, Spain. The paper, Deep Learning: A Tool for Computational Nuclear Physics, describes how feed-forward artificial neural networks can be used to predict the properties of atomic nuclei.