DOE OSTI · 1996697
Bayesian quantum state reconstruction with a learning-based tuned prior
Abstract
We demonstrate machine-learning-enhanced Bayesian quantum state tomography on near-term intermediate-scale quantum hardware. Our approach to selecting prior distributions leverages pre-trained neural networks incorporating measurement data and enables improved inference times over standard prior distributions.
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Regmi, Sangita, Blackwell, Ashley, Khannejad, Amirali, Lohani, Sanjaya, Lukens, Joseph, Glasser, Ryan, Kirby, Brian T., Searles, Thomas A.. 2023-06-01. Bayesian quantum state reconstruction with a learning-based tuned prior. https://doi.org/10.1364/quantum.2023.qm4b.3
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