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A practical and efficient approach for Bayesian quantum state estimation

Bayesian inference is a powerful paradigm for quantum state tomography, treating uncertainty in meaningful and informative ways. Yet the numerical challenges associated with sampling from complex probability distributions hampers Bayesian tomography in practical settings. In this article, we introdu...

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Bibliografiske detaljer
Principais autores: Joseph M Lukens, Kody J H Law, Ajay Jasra, Pavel Lougovski
Format: Artigo
Sprog:Inglês
Udgivet: IOP Publishing 2020-01-01
Serier:New Journal of Physics
Fag:
Online adgang:https://doi.org/10.1088/1367-2630/ab8efa
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