Reconfigurable Quantum Hutchinson with Real-Time Evolution

ORAL

Abstract

Recently, quantum algorithms leveraging dynamical evolution under the many-body Hamiltonian of interest have proven exceptionally effective in pinpointing individual eigenvalues near the edge of Hamiltonian spectrum, for example the ground state energy. This work delves into the potential of real-time evolution to evaluate the aggregate of eigenvalues across the entire spectrum. In particular, we introduce a simple near-term algorithm designed to compute the trace of a wide class of operators, including functions of the target Hamiltonian. Using stochastic real-time evolution, we transform the task of trace estimations to straightforward state-vector simulations on quantum computer. For numerical illustration, we highlight important applications, such as density of states and free energy calculations, relevant in physical, chemical, and materials sciences.

* This work was funded by the U.S. Department of Energy (DOE) under Contract No. DE-AC0205CH11231, through the Office of Advanced Scientific Computing Research (ASCR) Exploratory Research for Extreme-Scale Science.

Presenters

  • Yizhi Shen

    Lawrence Berkeley National Laboratory

Authors

  • Yizhi Shen

    Lawrence Berkeley National Laboratory

  • Michael J Lindsey

    University of California, Berkeley

  • Katherine Klymko

    Lawrence Berkeley National Laboratory, NERSC, Lawrence Berkeley National Laboratory

  • Eran Rabani

    University of California, Berkeley

  • Daan Camps

    Lawrence Berkeley National Laboratory

  • Norm M Tubman

    NASA Ames

  • Roel Van Beeumen

    Lawrence Berkeley National Laboratory