报告人：R. T. Glasser 教授
单位：Tulane University 美国杜兰大学
主持人：荆杰泰 教授
时间：2022年10月6日（周四）早上9：00
ZOOM会议 ID：856 6865 0722，密码：123456
参会链接：https://us06web.zoom.us/j/85668650722?pwd=V25BZHl5b0Npb09GQnZ5VGJEOE9nZz09
报告人简介：
Professor Glasser received his Ph.D. in Physics from Louisiana State University, under the advisement of Prof. Jonathan Dowling, in 2009. He was then a researcher at Harris Corporation for 2.5 years, working experimentally on the DARPA Quantum Sensors program. In 2011 he was awarded National Research Council Postdoctoral Associateship at NIST and the University of Maryland. He was a postdoctoral researcher at NIST and UMD in Paul Lett and Bill Phillips' Laser Cooling and Trapping Group, performing research in quantum information and quantum optics with warm atomic vapor, prior to joining the faculty at Tulane University in 2014. Since that time he has continued his research in experimental quantum optics and the use of machine learning in quantum information science.
报告内容简介：
We will discuss recent work involving the development and application of machine learning techniques to enhance various aspects of quantum computation on current, noisy quantum computers. In particular, we show the usefulness of machine learning in quantum state tomography and reconstruction. We will also discuss advances in enhancing free-space optical communication with machine learning, which we hope to extend into the quantum regime.