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.
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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