NERSC is seeking proposals to conduct research using NERSC’s Perlmutter supercomputer in the area of quantum information science. All areas of quantum information science are encouraged to apply, including but not limited to, quantum simulation of materials and chemical systems, algorithms for compilation of quantum circuits, error mitigation for quantum computing, and development/testing of hybrid quantum-classical algorithms. Proposals that demonstrate a plan to take advantage of the salient features of Perlmutter (e.g. 6,000+ NVIDIA A100 GPUs, all-flash scratch file system) will be given preference, as will projects that can show a strong benefit to current or future DOE Office of Science research objectives or society at large. The latest version of CUDA Quantum from NVIDIA is available for high performance hybrid quantum applications, in addition to the latest version of cuQuantum for both state vector and tensor network simulation on GPUs, as well as other relevant software. Successful applicants will be able to partner with NERSC and vendor staff on topics such as utilizing GPUs or optimizing your workflow (please contact us for more information).

Up to 20,000 Perlmutter GPU node hours (one Perlmutter GPU node contains 4 A100 CPUs)  may be awarded to accepted proposals initially, with more available if necessary. A successful award should use the time within 6 months, and is expected to communicate progress regularly with NERSC and provide a summary of work after 6 months. Awards are for the NERSC 2024 Account Year.

This call is not limited to current NERSC users.