Auxiliary-Field Quantum Monte Carlo for Calculating the Renyi and Accessible Entanglement Entropies

ORAL

Abstract

In this work, we introduce an Auxiliary-Field Quantum Monte Carlo algorithm to measure the Renyi and accessible entanglement entropy (EE) for systems of interacting fermions in both the canonical and grand canonical ensembles. This approach generalizes a recursive method we recently developed for performing AFQMC in the canonical ensemble to enable replica sampling for systems and subsystems with a fixed particle number, which allows for the measurement of the Renyi and particle-number-resolved accessible EEs. We present comparisons of the EEs in the two different ensembles as a function of the interaction strength and temperature to illustrate how the entanglements can be affected by explicit particle number constraints. Furthermore, we demonstrate how the EEs can be used as accurate probes of first-order phase transitions.

*T.S. and B.R. were funded by NSF CTMC CAREER Award 2046744. T.S. is also grateful for financial support from the Brown Open Graduate Education program. A.D. acknowledges support from the NSF under Grant No. DMR-2041995.

Publication: Tong Shen, Yuan Liu, Yang Yu, Brenda M. Rubenstein, Finite Temperature Auxiliary Field Quantum Monte Carlo in the Canonical Ensemble, The Journal of Chemical Physics, 153, 20, 204108, 2020;
Tong Shen, Jiangyong Yu, Hatem Barghathi, Adrian del Maestro, Brenda M. Rubenstein, A Stable Recursive Auxiliary Field Quantum Monte Carlo Algorithm in the Canonical Ensemble: Applications to Thermometry and the Hubbard Model, in preparation;
Tong Shen, Hatem Barghathi, Adrian del Maestro, Brenda M. Rubenstein, The Finite-Temperature Entanglement of Interacting Systems in the Canonical Ensemble, in preparation

Presenters

  • Tong Shen

    • Brown University

Authors

  • Tong Shen

    • Brown University
  • Hatem N Barghathi

    • University of Tennessee, Knoxville
    • University of Tennessee
  • Adrian G Del Maestro

    • University of Tennessee
  • Brenda M Rubenstein

    • Brown University