Shuixin Xiao's Talk on Quantum detector tomography: analytical algorithm, optimal design and regularization
Title: Quantum detector tomography: analytical algorithm, optimal design and regularization
Time, Date, Location: 11:00, Friday, May 12, 2023, Brian Anderson Building Seminar Room
Abstract: Quantum detector tomography (QDT) is a fundamental technique used for calibrating quantum devices and performing various quantum engineering tasks. In this talk, we will first provide a brief introduction to quantum physics and quantum tomography. We will then propose a two-stage analytical algorithm in QDT. Using this algorithm, we will further investigate optimal and adaptive designs for probe states to enhance estimation accuracy. However, in practice, probe states are often limited, which is why we will also explore the use of regularization techniques to solve this problem.
Bio: Shuixin Xiao received a B.E. degree in automation from Huazhong University of Science and Technology, Wuhan, China, in 2018. He is currently working toward the Ph.D. degree in a joint Ph.D. program with Shanghai Jiao Tong University, Shanghai, China, and the University of New South Wales, Canberra, ACT, Australia. Now he is also a Research Assistant at The Australian National University. His current research interests include quantum system identification, quantum computing, and quantum information processing.