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Main Authors: Liu, Zejun, Clark, Bryan K.
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2405.19577
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author Liu, Zejun
Clark, Bryan K.
author_facet Liu, Zejun
Clark, Bryan K.
contents Quantum magic, or nonstabilizerness, provides a crucial characterization of quantum systems, regarding the classical simulability with stabilizer states. In this work, we propose a novel and efficient algorithm for computing stabilizer Rényi entropy, one of the measures for quantum magic, in spin systems with sign-problem free Hamiltonians. This algorithm is based on the quantum Monte Carlo simulation of the path integral of the work between two partition function ensembles and it applies to all spatial dimensions and temperatures. We demonstrate this algorithm on the one and two dimensional transverse field Ising model at both finite and zero temperatures and show the quantitative agreements with tensor-network based algorithms. Furthermore, we analyze the computational cost and provide both analytical and numerical evidences for it to be polynomial in system size.
format Preprint
id arxiv_https___arxiv_org_abs_2405_19577
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Non-equilibrium quantum Monte Carlo algorithm for stabilizer Renyi entropy in spin systems
Liu, Zejun
Clark, Bryan K.
Quantum Physics
Statistical Mechanics
Computational Physics
Quantum magic, or nonstabilizerness, provides a crucial characterization of quantum systems, regarding the classical simulability with stabilizer states. In this work, we propose a novel and efficient algorithm for computing stabilizer Rényi entropy, one of the measures for quantum magic, in spin systems with sign-problem free Hamiltonians. This algorithm is based on the quantum Monte Carlo simulation of the path integral of the work between two partition function ensembles and it applies to all spatial dimensions and temperatures. We demonstrate this algorithm on the one and two dimensional transverse field Ising model at both finite and zero temperatures and show the quantitative agreements with tensor-network based algorithms. Furthermore, we analyze the computational cost and provide both analytical and numerical evidences for it to be polynomial in system size.
title Non-equilibrium quantum Monte Carlo algorithm for stabilizer Renyi entropy in spin systems
topic Quantum Physics
Statistical Mechanics
Computational Physics
url https://arxiv.org/abs/2405.19577