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A Quantum Algorithm to Simulate Open Quantum Systems

ORAL

Abstract

Given the advent of quantum algorithms for a wide array of problems in linear algebra and machine learning, it is important to develop general methods for the simulation of arbitrary (i.e. non-unitary) operators on quantum hardware. In this talk, we present a novel quantum algorithm based on the quantum singular value transformation (QSVT) to apply an arbitrary operator K to some input state and subsequently estimate the expectation value of some observable. Our construction then immediately yields a route to estimating observables of states undergoing open quantum dynamics, whose effect is captured by a set of non-unitary Kraus operators. Our algorithm succeeds deterministically given the Sz-Nagy dilation, and we provide details on the algorithm's query and gate complexity, numerical verification, and comparisons with prior methods.

Presenters

  • Joseph Barreto

    NASA Ames Research Center

Authors

  • Nishchay Suri

    NASA Ames Research Center, Carnegie Mellon University

  • Joseph Barreto

    NASA Ames Research Center

  • Filip A Wudarski

    NASA Ames Research Center, QuAIL, USRA, NASA

  • Jeffrey Marshall

    NASA Ames Research Center

  • Stuart Hadfield

    NASA Ames Research Center, NASA Quantum Artificial Intelligence Lab (QuAIL), USRA Research Institute for Advanced Computer Science (RIACS)

  • Nathan Wiebe

    University of Toronto

  • Eleanor G Rieffel

    NASA Ames Research Center, Quantum Artificial Intelligence Laboratory (QuAIL), NASA Ames Research Center, QuAIL, NASA