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【南山(国际)讲坛】报告通知(第30讲)

2023年05月12日 18:07  点击:

一、报告题目:控制理论在实验量子物理系统中的有效性

二、报 告 人:张国峰(香港理工大学)

三、主 持 人:杨飞生

四、报告时间:2023年05月15日(周一)上午10:00

五、报告地点:yl7703永利官网311会议室

六、报告简介:

Kalman decomposition is a standard result in classical linear systems theory. In this talk, we discuss the Kalman canonical form for quantum linear control systems. We show how this structural decomposition can be used to investigate decoherence-free modes, quantum non-demolition variables, and back-action evading phenomenon in quantum linear systems. The proposed theory will be demonstrated by several experiments from quantum optics and opto-mechanical systems, for example:

1. Optomechanical dark mode, Dong et al., Science, 338:609--1613, 2012.

2. Quantum backaction evading measurement of collective mechanical modes, Ockeloen-Korppi, et al., Physical Review Letters, 117:140401, 2016.

3. Quantum mechanics–free subsystem with mechanical oscillators, de Lepinay, et al., Science 372:625–629, 2021.

4. Light-mediated strong coupling between a mechanical oscillator and atomic spins 1 meter apart, Karg, Science 369:174–179, 2020.

七、报告人简历:

Guofeng Zhang received his B.Sc. degree and M.Sc. degree from Northeastern University, Shenyang, China, in 1998 and 2000 respectively. He received a Ph.D. degree in Applied Mathematics from the University of Alberta, Edmonton, Canada, in 2005. During 2005–2006, he was a Postdoc Fellow at the University of Windsor, Windsor, Canada. He joined the School of Electronic Engineering of the University of Electronic Science and Technology of China, Chengdu, China, in 2007. From April 2010 to December 2011, he was a Research Fellow at the Australian National University. He is currently an Associate Professor in the Department of Applied Mathematics at the Hong Kong polytechnic University. He is an Associate Editor of IET Control Theory and Applications, and the Lead Guest Editor for the Special Issue on Quantum Control and Quantum Machine Learning of Journal of The Franklin Institute, etc. His research interests include quantum information and control, and quantum algorithms.

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