学术报告：Estimating Information Rates of Classical and Quantum Channels with Memory

学术报告：Estimating Information Rates of Classical and Quantum Channels with Memory

时      间：2017年5月26日(周五)上午10:30-12:00 

地      点：最热门的网赌网址大全十大网赌网址信誉排行榜一楼101讲学厅（广州市外环东路132号） 

报 告 人：香港中文大学， Pascal O. Vontobel教授 

主 持 人：陈立教授

Estimating Information Rates of Classical and Quantum Channels with Memory

报告摘要

Time-invariant channels with memory appear frequently in practice. For such channels, computing the information rate, let alone the capacity, is much more challenging than for memoryless channels. In this talk, I will first review my earlier work on efficient techniques for estimating the information rate and for bounding the capacity of time-invariant classical channels with memory. I will then discuss novel results on how to efficiently estimate the information rate of time-invariant channels with memory whose input and output are classical, but whose state is quantum. In particular, I will also show how to optimize low-complexity receivers and how to estimate the corresponding information rates. As part of the above discussion, I will introduce a novel class of graphical models that allows one to conveniently represent the relevant quantum probability computations that need to be done when estimating information rates. Importantly, this novel class of graphical models is of interest much beyond information rate estimation.

报告人简介

Pascal O. Vontobel received the Diploma degree in electrical engineering in 1997, the Post-Diploma degree in information techniques in 2002, and the Ph.D. degree in electrical engineering in 2003, all from ETH Zurich, Switzerland. From 1997 to 2002 he was a research and teaching assistant at the Signal and Information Processing Laboratory at ETH Zurich, from 2006 to 2013 he was a research scientist with the Information Theory Research Group at Hewlett-Packard Laboratories in Palo Alto, CA, USA, and since 2014 he has been an Associate Professor at the Department of Information Engineering at the Chinese University of Hong Kong. Besides this, he was a postdoctoral research associate at the University of Illinois at Urbana-Champaign (2002-2004), a visiting assistant professor at the University of Wisconsin-Madison (2004-2005), a postdoctoral research associate at the Massachusetts Institute of Technology (2006), and a visiting scholar at Stanford University (2014). His research interests lie in information theory, data science, communications, and signal processing.

Dr. Vontobel has been an Associate Editor for the IEEE Transactions on Information Theory (2009-2012), an Awards Committee Member of the IEEE Information Theory Society (2013-2014), a Distinguished Lecturer of the IEEE Information Theory Society (2014-2015), and a TPC co-chair of the 2016 IEEE International Symposium on Information Theory. Currently, he is an Associate Editor for the IEEE Transactions on Communications and a TPC co-chair of the upcoming 2018 IEEE Information Theory Workshop in Guangzhou, China. He has been on the technical program committees of many international conferences and has co-organized several topical workshops. Moreover, he has been three times a plenary speaker at international information and coding theory conferences and has been awarded the ETH medal for his Ph.D. dissertation.