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Mitigating the sign problem with Permutation Matrix Representation quantum Monte Carlo

ORAL

Abstract

The Permutation Matrix Representation quantum Monte Carlo algorithm [Gupta, Albash and Hen, J. Stat. Mech. (2020) 073105] is a parameter-free Trotter error-free QMC technique designed to tackle a very broad range of physical models within a single unifying framework. In this approach, configurations correspond to closed walks on the Hamiltonian matrix graph. I will demonstrate how this technique can be used to mitigate the sign problem in a variety of quantum many-body models.

Presenters

  • Itay Hen

    University of Southern California

Authors

  • Itay Hen

    University of Southern California