[Naoto Tsuji] New mathematical approach of high-accuracy quantum many-body calculations using machine learning for strongly correlated electron systems

Research Director

Naoto Tsuji

Naoto Tsuji

Center for Emergent Matter Science (CEMS), RIKEN
Research Scientist

Outline

In this project, we aim to establish a general framework of a new mathematical approach to optimize the efficiency of quantum many-body calculations by using machine learning methods. More precisely, we construct a machine learning model to infer an optimal choice of wave function bases for a quantum Monte Carlo algorithm used in the dynamical mean-field theory. We apply this approach to enable a high-accuracy calculation for multi-orbital and/or large-cluster material models which cannot be treated with the existing algorithms.

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