Abstract:
With this talk, I will first illustrate the implementation of our machine-learning (ML) enhanced quantum state tomography (QST) for continuous variable, through the experimentally measured data generated from squeezed vacuum states. With the help of ML-QST, we also experimentally reconstructed the Wigner’s quantum phase current for the first time. At the same time, as a collaborator for LIGO-Virgo-KAGRA (LVK) gravitational wave network and Einstein Telescope, our plan to inject this squeezed vacuum field into the advanced gravitational wave detectors will be introduced. Finally, I will report our recent progress in applying such a ML-QST as a crucial diagnostic toolbox for applications with squeezed states, from quantum random number generation, quantum information process, and macroscopic quantum state generation.