Machine-learning enhanced quantum state tomography and its applications to the gravitational wave detectors

Ray-Kuang Lee^1*

¹Institute of Photonics Technologies, National Tsing Hua University, Hsinchu, Taiwan

* Presenter:Ray-Kuang Lee, email:rklee@ee.nthu.edu.tw

With this talk, I will first illustrate the implementation of our machine-learning (ML) enhanced quantum state tomography (QST) for continuous variables, through the experimentally measured data generated from squeezed vacuum states, as an example of quantum machine learning. Our recent progress in applying such a ML-QST as a crucial diagnostic toolbox for applications with squeezed states, from Wigner currents, optical cat state generation, and Bayesian estimation for the gravitational wave detectors will be reported.

Keywords: Quantum State Tomography, Gravitational Wave Detector, Machine-Learning