博士论文答辩：量子探测器与过程层析：算法与优化
日期：2023/07/21 - 2023/07/21
博士论文答辩：量子探测器与过程层析：算法与优化
主讲人：Shuixin Xiao, Ph.D. candidate at UM-SJTU Joint Institute
时间：2023年7月21日（周五）下午2:00
地点：zoom online 225 422 2685
讲座摘要
In the past decades, we have witnessed a significant progress in a variety of fields of quantum information technologies such as quantum computing, quantum communication, quantum sensing, and quantum control. In these applications, a fundamental task is to develop accurate estimation and identification algorithms to acquire full information of the quantum systems of interest, which is named quantum tomography. There are three typical quantum tomography tasks: quantum state tomography (QST), quantum detector tomography (QDT) and quantum process tomography (QPT). This thesis develops algorithms and investigates optimization in QDT and QPT. We propose optimal and two-step adaptive QDT and apply regularization in QDT. For QPT, we discuss open quantum system identification and two-stage solution.
主讲人简介
Shuixin Xiao received a B.E. degree in automation from Huazhong University of Science and Technology, Wuhan, China, in 2018. She is currently a Ph.D. candidate at the UM-SJTU Joint Institute, supervised by Prof. Jun Zhang. His current research interests include quantum tomography, quantum control and quantum computing.