Simulating many-body open quantum systems by harnessing the power of artificial intelligence and quantum computing

L Lyuzhou Ye (Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China 1 , Hefei, Anhui 230026,) Y Yao Wang X Xiao Zheng

Abstract

Simulating many-body open quantum systems (OQSs) is challenging due to the intricate interplay between the system and its environment, resulting in strong quantum correlations in both space and time. This Perspective presents an overview of recently developed theoretical methods using artificial intelligence (AI) and quantum computing (QC) to simulate the dynamics of these systems. We briefly introduce the dissipaton-embedded quantum master equation in second quantization, which provides a single master equation suitable for representation by neural quantum states or quantum circuits. The promising performance of AI- and QC-based approaches is demonstrated through preliminary research on simulating the quantum dissipative dynamics of many-body OQSs. We also discuss the limitations and future developments of these methods, which hold promise for overcoming the computational challenges associated with many-body OQS dynamics.

Article Details

Volume / Issue Vol. 162, Issue 12
Published March 28, 2025
ISSN 0021-9606
Publisher American Institute of Physics

Journal Info

The Journal of Chemical Physics

American Institute of Physics

ISSN: 0021-9606 Physical Sciences

Authors (3)

L

Lyuzhou Ye

Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China 1 , Hefei, Anhui 230026,

Y

Yao Wang

X

Xiao Zheng