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...
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 |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
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Series: | New Journal of Physics |
Subjects: | |
Online Access: | https://doi.org/10.1088/1367-2630/ace6c8 |
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