Demonstration of machine-learning-enhanced Bayesian quantum state estimation

Demonstration of machine-learning-enhanced Bayesian quantum state estimation

Machine learning (ML) has found broad applicability in quantum information science in topics as diverse as experimental design, state classification, and even studies on quantum foundations. Here, we experimentally realize an approach for defining custom prior distributions that are automatically tu...

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Bibliographic Details
Main Authors: Sanjaya Lohani, Joseph M Lukens, Atiyya A Davis, Amirali Khannejad, Sangita Regmi, Daniel E Jones, Ryan T Glasser, Thomas A Searles, Brian T Kirby
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:New Journal of Physics
Subjects:
quantum tomography
Bayesian techniques
machine learning
Online Access:https://doi.org/10.1088/1367-2630/ace6c8

Internet

https://doi.org/10.1088/1367-2630/ace6c8

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