演讲题目：Efficient estimation, identification and fault-tolerant filtering in quantum systems
时间：2017年7月18日上午9点30分-10点30分
地点：2教南524会议室
Efficient estimation, identification and fault-tolerant filtering in quantum systems
Daoyi Dong
School of Engineering and Information Technology, University of New South Wales, Australia
In this talk, I will introduce several results on quantum state estimation, Hamiltonian identification and fault-tolerant quantum filtering with my collaborators. First, a simple yet efficient method of linear regression estimation (LRE) is presented for quantum state tomography. Numerical examples show that LRE is much faster than maximum-likelihood estimation for quantum state tomography. Based on LRE, we present a recursively adaptive quantum state tomography (RAQST) protocol for finite dimensional quantum systems and experimentally implement the adaptive tomography protocol on two-qubit systems. The computational capability of full quantum state tomography is pushed forward to reconstruct a 14-qubit state with a run time of only 3.35 hours using the LRE algorithm. Second, we present a two-step optimization quantum Hamiltonian identification algorithm, characterize its computational complexity and establish an error upper bound. Lastly, we analyse how to determine the fault tolerant quantum filter and fault detection equation for a class of open quantum systems coupled to a laser field that is subject to stochastic faults. In particular, we propose a quantum-classical Bayesian inference method based on the definition of a so-called quantum-classical conditional expectation.
董道毅（Daoyi Dong）于1997年进入中国科学技术大学读本科，2006年获博士学位，2006年到中科院数学与系统科学研究院从事博士后研究，随后在浙江大学智能系统与控制研究所担任副教授，现为澳大利亚新南威尔士大学高级讲师。主要研究方向为量子系统控制、量子学习算法。他曾获得澳大利亚研究理事会（ARC）国家博士后奖励基金、ARC国际合作奖，他与合作者一起获得2014年全球智能控制与自动化世界大会（WCICA）控制理论最佳论文奖,2015年中国控制会议关肇直奖，2016年入选澳大利亚新南威尔士大学将改变世界的学术新星。他跟美国普林斯顿大学、华盛顿大学、日本理化研究所、瑞典皇家理工学院、中科院数学与系统科学研究院、南京大学、中国科技大学等单位的合作者有着长期的学术合作。他已在相关领域顶级期刊如IEEE Transactions on Automatic Control、Automatica、Journal of Physical Chemistry Letters、npj Quantum Information和国际重要期刊如Scientific Reports, New Journal of Physics, Physical Review A等发表期刊论文五十余篇，其中IEEE Transactions和Automatica长文二十篇。担任IEEE Transactions on Neural Networks and Learning Systems副主编（Associate Editor）。