• Corpus ID: 235125695

Ground-state properties via machine learning quantum constraints

@inproceedings{Zheng2021GroundstatePV,
  title={Ground-state properties via machine learning quantum constraints},
  author={Peikun Zheng and Sijun Du and Yi Zhang},
  year={2021}
}
Ground-state properties are central to our understanding of quantum many-body systems. At first glance, it seems natural and essential to obtain the ground state before analyzing its properties; however, its exponentially large Hilbert space has made such studies costly, if not prohibitive, on sufficiently large system sizes. Here, we propose an alternative strategy based upon the expectation values of an ensemble of operators and the elusive yet vital quantum constraints between them, where… 

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