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.
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Presenters
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Yizhi Shen
Lawrence Berkeley National Laboratory
Authors
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Yizhi Shen
Lawrence Berkeley National Laboratory
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Michael J Lindsey
University of California, Berkeley
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Katherine Klymko
Lawrence Berkeley National Laboratory, NERSC, Lawrence Berkeley National Laboratory
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Eran Rabani
University of California, Berkeley
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Daan Camps
Lawrence Berkeley National Laboratory
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Norm M Tubman
NASA Ames
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Roel Van Beeumen
Lawrence Berkeley National Laboratory