Matrix phase-space representations in quantum optics

We introduce matrix quantum phase-space distributions. These extend the idea of a quantum phase-space representation via projections onto a density matrix of global symmetry variables. The method is applied to verification of low-loss Gaussian boson sampling (GBS) quantum computational advantage experiments with up to 10,000 modes, where classically generating photon-number counts is exponentially hard. We demonstrate improvements in sampling error by a factor of 1000 or more compared to unprojected methods, which are infeasible for such cases.

Publication Details

Journal
ArXiv.org
Published
2025-03-16
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
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article

Matrix phase-space representations in quantum optics

ArXiv.org
Quantum Information and Cryptography
article

Matrix phase-space representations in quantum optics

article en

Abstract

We introduce matrix quantum phase-space distributions. These extend the idea of a quantum phase-space representation via projections onto a density matrix of global symmetry variables. The method is applied to verification of low-loss Gaussian boson sampling (GBS) quantum computational advantage experiments with up to 10,000 modes, where classically generating photon-number counts is exponentially hard. We demonstrate improvements in sampling error by a factor of 1000 or more compared to unprojected methods, which are infeasible for such cases.

ArXiv.org
Openalex Percentile: Top 73%
Quantum Information and Cryptography
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