Off-Diagonal Expansion Quantum Monte Carlo

ORAL

Abstract

I will discuss a novel, parameter-free Trotter error-free, quantum Monte Carlo technique designed to tackle a very broad range of physical models within a single unifying framework. The method builds on a series expansion of the canonical partition function around its classical component. The expansion further allows for a group-theoretical abstraction of the QMC algorithm. Some results showcasing the capabilities of the algorithm will be presented.

*The computing resources were provided by the USC Center for High Performance Computing and Communications. The research is based upon work supported by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via the U.S. Army Research Office contract W911NF-17-C-0050.

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Presenters

  • Itay Hen

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

Authors

  • Itay Hen

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

  • Tameem Albash

    • University of Southern California
    • Information Sciences Institute, USC

  • Lalit Gupta

    • University of Southern California