2 papers
quant-ph2026
Normalizing Flow-Based Bayesian Parameter Estimation for Noisy Quantum States
Hsien-Yi Hsieh, Yuan-Ting Liu, Juan Camilo Rodrıguez +5
To extract complete information about experimental noisy quantum states, as well as correlations among different physical parameters, we develop an efficient machine learning-assis…
quant-ph2025
Machine Learning for Quantum State Tomography: Robust Covariance Matrix Estimation for Squeezed Vacuum States with Thermal Noise
Juan Camilo Rodrıguez, Hsien-Yi Hsieh, Hua-Li Chen +3
We present a supervised machine learning-based method using convolutional neural networks to estimate the covariance matrix of Gaussian quantum states in the presence of thermal no…