Berkeley Lab Part of Two Five-Year, Multi-Million Dollar Quantum Computing Projects
September 9, 2019
The U.S. Department of Energy (DOE) continues to invest in the development of quantum computing across a number of projects and initiatives nationwide. In late August, the DOE announced two new funding awards that will bring significant support to Berkeley Lab research efforts in this area.
Berkeley Lab is among 30 recipients of $60.7 million in funding from DOE’s Advanced Scientific Computing Research office to advance the development of quantum computing and networking, from algorithms, programming languages, compilers, and debugging approaches to wide-area quantum networks that leverage existing fiber optic connections.
Berkeley Lab is leading one project, “Advancing Integrated Development Environments for Quantum Computing through Fundamental Research” (AIDE-QC), which will receive $17.5 million over a five-year period. Bert de Jong of the Computational Research Division is the principal investigator (PI) on the project, which brings together researchers from five DOE national laboratories (Berkeley, Oak Ridge, Los Alamos, Argonne, and Sandia) and the University of Chicago to address critical aspects of computer science research that accelerate the integration of near-term intermediate-scale quantum devices for scientific exploration.
“The AIDE-QC team will build on its expertise integrating computer science and applied mathematics into quantum computing, accumulated from prior research under the DOE ASCR Quantum Algorithms Team (QAT) and Quantum Computing Applications Team (QCAT) research programs,” de Jong said. “Our team also has extensive experience interacting with domain scientists to explore application-aware programming of quantum computers.”
Berkeley Lab is also a co-PI on the second project, “Fundamental Algorithmic Research for Quantum Computing,” which will receive $18.5 million over a five-year period. Led by PI Ojas Parekh of Sandia National Laboratories, this project will build on previous and ongoing work via the ASCR QAT/QCAT programs to develop novel quantum, classical, and hybrid algorithms to advance basic capabilities in quantum simulation, optimization, and machine learning; and provide rigorous resource scaling estimates for fundamental quantum algorithmic primitives.
“We are on the threshold of a new era in quantum information science and quantum computing and networking, with potentially great promise for science and society,” said Under Secretary of Science Paul Dabbar in a news release announcing the funding awards. “These projects will help ensure U.S. leadership in these important new areas of science and technology.”
About Computing Sciences at Berkeley Lab
High performance computing plays a critical role in scientific discovery, and researchers increasingly rely on advances in computer science, mathematics, computational science, data science, and large-scale computing and networking to increase our understanding of ourselves, our planet, and our universe. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new foundations, tools, and technologies to meet these needs and to advance research across a broad range of scientific disciplines.
Founded in 1931 on the belief that the biggest scientific challenges are best addressed by teams, Lawrence Berkeley National Laboratory and its scientists have been recognized with 13 Nobel Prizes. Today, Berkeley Lab researchers develop sustainable energy and environmental solutions, create useful new materials, advance the frontiers of computing, and probe the mysteries of life, matter, and the universe. Scientists from around the world rely on the Lab’s facilities for their own discovery science. Berkeley Lab is a multiprogram national laboratory, managed by the University of California for the U.S. Department of Energy’s Office of Science.
DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.