题目：Machine Learning for Precise Quantum Measurement

报告人：Prof. Barry Sanders （The Institute for Quantum Information Science , The University of Calgary, Canada）

摘要：

Quantum measurement schemes aim to surpass the standard quantum limit (essentially partition noise) and strive to reach the quantum limit (precision inversely proportional to number of injected particles).  One particularly promising category of quantum measurement schemes employs a feedback mechanism: leading particles are detected with the resultant information used to control the instrument in order to extract progressively more information during passage of the pulse.

Clever quantum feedback schemes have been devised but are restricted to ideal conditions.  In general quantum feedback schemes are challenging to design so we decided to adapt machine learning theory to quantum information inputs and employ our theory to devise adaptive-feedback quantum measurement schemes.  In particular our approach replaces guesswork in quantum measurement by a logical, fully-automatic, programmable routine.  We show that our method yields schemes that outperform the best known adaptive scheme for interferometric phase estimation.  Furthermore our approach can be adapted to the real-world case where the instrument would learn through trial and error an effective quantum feedback routine.

Prof. Barry Sanders 简介：

Dr. Barry Sanders is iCORE Chair of Quantum Information Science and Director of the Institute for Quantum Information Science at the University of Calgary. He received his Bachelor of Science degree from the University of Calgary and a PhD at Imperial College under the supervision of Sir Peter Knight at Imperial College. He was a postdoc with Gerard Milburn at the Australian National University then at the University of Queensland and was a postdoc with Crispin Gardiner at the University of Waikato. Dr. Sanders was a faculty member at Macquarie University for 12 years before moving to Calgary in 2003. He is especially well known for theories of quantum-limited measurement, nonclassical light, quantum cryptography and implementations of quantum information tasks. His current research interests include quantum resources and algorithms and also optical and atomic implementations of quantum information tasks and protocols. Recently he has developed research activities in quantum processes in biological systems and also on machine learning approaches to quantum control. He is a Fellow of the Institute of Physics, the Optical Society of America, the Australian Institute of Physics, the American Physical Society, and the Canadian Institute for Advanced Research and on the editorial boards of Physical Review A, Optics Communications and New Journal of Physics.

时间：2010年8月25日（星期三）上午10：00  

地点：中科院物理研究所B楼二段402会议室

联系人：金奎娟  研究员  （Tel：82648099）

主办单位：中国科学院光物理重点实验室