Implementation of machine learning architecture with a convolutional neural network will be illustrated and demonstrated through the experimentally measured data generated from squeezed vacuum states. Dr. Lee will discuss the measurement results in detail. Dr. Lee will also cover progress in applying such an MLQST as an essential diagnostic toolbox for applications with squeezed states, from quantum information process, quantum metrology, and advanced gravitational wave detectors to macroscopic quantum state generation.

Subject Matter Level:

• Introductory - Assumes little previous knowledge of the topic

What You Will Learn:

• Quantum noise squeezing in quantum optics
• Quantum state tomography
• Machine-learning enhanced quantum state tomography

Who Should Attend:

• Students
• Ph.D. research scholars
• Early-stage researchers/post-doctoral fellows

About the Presenter: Ray-Kuang Lee, National Tsing Hua University

Dr. Ray-Kuang Lee received his BS degree from the Department of Electrical Engineering, National Taiwan University (EE/NTU) in 1997, and his MS and PhD degrees from the Institute of Electro-Optical Engineering, National Chiao-Tung University (IEO/NCTU), in 1999 and 2004, respectively. He joined the Institute of Photonics Technologies/Department of Electrical Engineering, National Tsing Hua University (NTHU) as a faculty member in Aug. 2005, where he established the Quantum Optics Group dedicated to the quantum properties of light, as well as the classical limit. Specifically, his research interests include squeezed state generation, gravitational wave detectors, optical solitons and vortices in nonlinear systems, slow-light optics, and quantum memory.