Quantum Computing Inc. will use its cloud software application to help the Department of Energy’s Los Alamos National Laboratory address graph partitioning and data decomposition issues to enable petascale and exascale simulations that can be applied to national security efforts.
The company and Los Alamos signed a three-year cooperative research and development agreement for the processing of the lab’s computational meshes using the Qatalyst quantum software for partitioning large graphs, QCI said Monday.
Work will be conducted with Los Alamos administrator Triad National Security and include a combination of quantum processor units and classical processors. D-Wave annealing-based QPUs will initially be used in the hybrid work.
Qatalyst is designed to function across classical and quantum computers and use quantum-ready computational software’s power on classical processors. It works to decompose and partition graphs representing supercomputing grid, delivering sustained performance while preventing computational load imbalances.
“QCI’s Qatalyst cloud software application provides the classical side to allow us to run larger problems and orchestrate the use of quantum devices in the process, extending the use of quantum computing to solving larger optimization problems,” said Irene Qualters, associate laboratory director for simulation and computation, and leader of Los Alamos’ quantum computing research and development.