- University of New South Wales, Australia
Quantum technology is a promising future technology, and quantum cybernetics provides a framework for a fundamental and interdisciplinary investigation on the role of quantum effects on regulating quantum and classical systems and developing new quantum technology. In this talk, we will introduce several results on state estimation, parameter identification, robust control and machine learning in quantum technology. First, an efficient method of linear regression estimation (LRE) is presented for quantum state tomography. Second, we present a couple of results on quantum Hamiltonian identification and Hamiltonian identifiability. Then, we will present some results on robust control of quantum systems. Lastly, we give a brief introduction to quantum machine learning.
Daoyi Dong is currently a Scientia Associate Professor at the University of New South Wales, Canberra, Australia, and he is also an Alexander von Humboldt Fellow. He was with the Chinese Academy of Sciences and with the Zhejiang University. He had visiting positions at Princeton University, NJ, USA, RIKEN, Wako-Shi, Japan and The University of Hong Kong, Hong Kong, University of Duisburg-Essen, Germany. He received a B.E. degree in automatic control and a Ph.D. degree in engineering from the University of Science and Technology of China, Hefei, China, in 2001 and 2006, respectively. His research interests include quantum cybernetics and machine learning. He was awarded an ACA Temasek Young Educator Award by The Asian Control Association and is a recipient of an International Collaboration Award, Discovery International Award and an Australian Post-Doctoral Fellowship from the Australian Research Council, and Humboldt Research Fellowship from Alexander von Humboldt Foundation in Germany. He is also a co-recipient of Guan Zhao-Zhi Award at the 34th Chinese Control Conference, and the Best Theory Paper Award at the 11th World Congress on Intelligent Control and Automation. He serves as an Associate Editor of IEEE Transactions on Neural Networks and Learning Systems. He has also served as General Chair or Program Chair for several international conferences, and is a Member-at-Large of Board of Governors, IEEE Systems, Man and Cybernetics Society. He has published 95 journal papers in leading journals including Nature Human Behaviour, Physical Review Letters, IEEE Transactions, and Automatica, more than 50 conference paper, and one book. He has attracted a number of competitive grants with more than AU$2.8 million from Australia, USA, China and Germany.