量子信息学交叉学科系列讲座

报告题目： Challenges and Opportunities of Quantum Machine Learning

报告人：Min-Hsiu Hsieh

时间：2020年11月27日下午3点钟

地点：腾讯会议（会议号：820281227）

主办单位：ABG欧博网平台登录 计算智能与量子信息学研究团队

    个人简介： Min-Hsiu Hsieh received his BS and MS in electrical engineering from National Taiwan University in 1999 and 2001, and PhD degree in electrical engineering from the University of Southern California, Los Angeles, in 2008. From 2008-2010, he was a Researcher at the ERATO-SORST Quantum Computation and Information Project, Japan Science and Technology Agency, Tokyo, Japan. From 2010-2012, he was a Postdoctoral Researcher at the Statistical Laboratory, the Centre for Mathematical Sciences, the University of Cambridge, UK. He is now an Australian Research Council (ARC) Future Fellow and an Associate Professor at the Centre for Quantum Software and Information, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia. His scientific interests include quantum information, quantum learning, and quantum computation.  

    报告摘要： In this talk, I will quickly review the current challenges faced in the research topic of quantum machine learning, and introduce some of our recent results that could go around and overcome these challenges.