Maximizing Quantum Computing Capabilities with High-Performance Computing
ORAL
Abstract
In this presentation, we will discuss how quantum computing (QC) and high-performance computing (HPC) complement each other. Various models for HPC and QC integration will be discussed. The emphasis will be placed on how quantum circuit simulators running on supercomputers can help maximize the potential of quantum computing. In particular, we will discuss how Argonne-developed tensor network quantum circuit simulator QTensor [1,2] running on supercomputers located in Argonne Leadership Computing Facility [3] can help to achieve this goal. The use cases for quantum circuits simulators include 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, to name a few. We will present the current progress on the development of QTensor and future directions.
*This research used resources of the Argonne Leadership Computing Facility, a U.S. Department of Energy (DOE) Office of Science user facility at Argonne National Laboratory and is based on research supported by the U.S. DOE Office of Science-Advanced Scientific Computing Research Program, under Contract No. DE-AC02-06CH11357.
–
Publication:1. Lykov D, Schutski R, Galda A, Vinokur V, Alexeev Y. Tensor network quantum simulator with step-dependent parallelization. In2022 IEEE International Conference on Quantum Computing and Engineering (QCE) 2022 Sep 18 (pp. 582-593). IEEE. 2. https://github.com/danlkv/QTensor 3. https://www.alcf.anl.gov/alcf-resources
