Simulating many-body open quantum systems by harnessing the power of artificial intelligence and quantum computing
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.
Authors
- Yao Wang (ORCID: https://orcid.org/0000-0003-2939-208X)
- Xiao Zheng (ORCID: https://orcid.org/0000-0002-9804-1833)
- Lyuzhou Ye (ORCID: https://orcid.org/0000-0001-8016-722X)
Institutions
- University of Science and Technology of China (CN)
- Fudan University (CN)
- Hefei University (CN)
- Hefei National Center for Physical Sciences at Nanoscale (CN)
Publication Details
- Journal
- The Journal of Chemical Physics
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1063/5.0242648
- Citations
- 3
- Primary Topic
- Quantum many-body systems
- Type
- article
- Field-Weighted Citation Impact
- 3.74
Funders
- National Natural Science Foundation of China