Authors: Honghui Shang (Institute of Computing Technology, Chinese Academy of Sciences); Li Shen (University of Science and Technology of China, National Supercomputing Center in Wuxi); Yi Fan (University of Science and Technology of China); Zhiqian Xu (Institute of Computing Technology, Chinese Academy of Sciences); Chu Guo (Shanghai Research Center for Quantum Sciences); Jie Liu (University of Science and Technology of China); Wenhao Zhou (National Supercomputing Center in Wuxi); Huan Ma (University of Science and Technology of China); Rongfen Lin (Tsinghua University, China); Yuling Yang and Fang Li (National Supercomputing Center in Wuxi); Zhuoya Wang (Pilot National Laboratory for Marine Science and Technology, Qingdao, China); Yunquan Zhang (Institute of Computing Technology, Chinese Academy of Sciences); and Zhenyu Li (University of Science and Technology of China)
Abstract: Quantum computational chemistry (QCC) is the use of quantum computers to solve problems in computational quantum chemistry. We develop a high-performance variational quantum eigensolver (VQE) simulator on a new Sunway supercomputer. The major innovations include: (1) a Matrix Product State (MPS) based VQE simulator to reduce the amount of memory needed; (2) a combination of the Density Matrix Embedding Theory with the MPS-based VQE simulator to further extend the simulation range; (3) A three-level parallelization scheme to scale up to 20 million cores; (4) Usage of the Julia script language as the main programming (e.g. C) language, which both makes the programming easier and enables cutting edge performance; (5) Study of real chemistry systems based on the VQE simulator, achieving nearly linearly strong and weak scaling. Our simulation demonstrates the power of VQE for large quantum chemistry systems, thus paves the way for large-scale VQE experiments on near-term quantum computers.
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