Computationally efficient Bayesian quantum state tomography

Joseph M. Lukens, Kody J.H. Law, Ajay Jasra, Pavel Lougovski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe a method for Bayesian quantum state estimation combining efficient parameterization, a pseudo-likelihood, and advanced numerical sampling techniques. Examples reveal significant computational speedup, indicating the approach's promise in practical quantum state tomography.
Original languageEnglish (US)
Title of host publication2020 IEEE Photonics Conference (IPC)
PublisherIEEE
ISBN (Print)9781728158914
DOIs
StatePublished - Sep 2020

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