Quantum Computing and HPC Integration

ORAL

Abstract

In this presentation, we will discuss how quantum computing (QC) and high-performance computing (HPC) complement each other. Various models for integration will be discussed. We will discuss how HPC can help QC and another way around how QC can help HPC. The emphasis will be made on the need to develop state-of-the-art quantum circuit simulators to run efficiently on modern supercomputers to run at scale large simulations. In particular, the development of tensor network simulators for GPU-based supercomputers. The main use cases for simulators are the design of new quantum algorithms and finding optimal parameters, verification of quantum supremacy and advantage, and co-design of QC+HPC architecture at both hardware and software system levels. We will present the current progress on the development of the various quantum simulators and future directions.

*Danylo Lykov and Yuri Alexeev are supported in part by the Defense Advanced Research Projects Agency (DARPA) grant. This work used the resources of the Argonne Leadership Computing Facility, which is DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. This material is based upon work supported by the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers.

Presenters

  • Yuri Alexeev

    • Argonne National Laboratory
    • Computational Science Division, Argonne National Laboratory

Authors

  • Yuri Alexeev

    • Argonne National Laboratory
    • Computational Science Division, Argonne National Laboratory
  • Danylo Lykov

    • University of Chicago
  • Minzhao Liu

    • University of Chicago
  • William Berquist

    • University of Houston