This approach demonstrates improved parameter estimation and degradation diagnostics in quantum states, indicating enhanced reliability.
We propose a high-efficiency flow-based machine learning method for parameter estimation, enabling precise diagnostics of degraded non-Gaussian quantum states. This approach combines uncertainty quantification and prior knowledge to enhance inference reliability and reconstruct quantum states accurately.
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Hsieh et al. (2025) studied this question.
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