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Unorthodox Parallelization for Bayesian Quantum State Estimation

Hanson H. Nguyen, Kody J. H. Law, Joseph M. Lukens

Published Jan 1, 2025• 0 citations
Publisher

Abstract

Bayesian inference enables informationally efficient quantum state tomography (QST) yet is challenging to scale computationally. We demonstrate a parallelizable Bayesian QST method that, although unorthodox, proves remarkably practical, attaining significant speedups in multiqubit state estimation.
DOI
10.1364/cleo_at.2025.jps200_107

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