Using quantum Monte Carlo to study quantum phase transitions

ORAL

Abstract

We derive a scheme to estimate fidelity susceptibility in permutation matrix representation quantum Monte Carlo (PMR-QMC) and test it numerically. Fidelity susceptibility is a universal indicator of quantum phase transitions, and hence, our work allows for the study of quantum phases even without knowledge of an underlying order parameter. We remark that previous works have derived similar schemes for imaginary time and stochastic series expansion QMC (Wang et. al. PhysRevX.5.031007). However, PMR-QMC is neither an imaginary time nor stochastic series expansion method, and hence, our scheme does not follow directly from previous work. Instead, PMR-QMC is a sampling scheme over permutations with weights given by divided differences of the Boltzmann exponential. The PMR-QMC has many benefits over imaginary time and stochastic series expansion methods (Lalit et. al. J. Stat. Mech. (2020) 073105]), so our scheme inherits all these benefits over previous approaches.

* NE was partially supported by the U.S. Department of Energy (DOE) Computational Science Graduate Fellowship under Award Number DE-SC0020347. This project was supported in part by NSF award #2210374. In addition, this material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR001122C0063.

Publication: "Permutation matrix representation quantum Monte Carlo: advanced measurement techniques," Emre Akaturk, Nic Ezzell, Itay Hen (planned)
"Computing fidelity susceptibility in permutation matrix representation quantum Monte Carlo," Nic Ezzell, Lev Barash, Itay Hen (planned)

Presenters

  • Nic Ezzell

    University of Southern California

Authors

  • Nic Ezzell

    University of Southern California

  • Lev Barash

    University of Southern California, Information Sciences Institute, University of Southern California

  • Itay Hen

    University of Southern California