A quantum implementation of the Stochastic Series Expansion (SSE) Monte Carlo method is proposed, offering significant advantages over classical implementations, particularly for problems with the sign problem. Quantum SSE's cost scales linearly with system size, unlike classical SSE's potential exponential scaling. Even without the sign problem, quantum SSE allows measurement of more general observables.
Publisher
npj Quantum Information
Published On
Apr 26, 2022
Authors
Kok Chuan Tan, Dhiman Bhowmick, Pinaki Sengupta
Tags
Quantum Computing
Stochastic Series Expansion
Monte Carlo Method
Sign Problem
Observables
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