浅析量子计算及其与机器学习和信息安全的关联
日期：2021/07/20 - 2021/07/20
学术讲座：浅析量子计算及其与机器学习和信息安全的关联
主讲人：Nana Liu, Associate Professor, Institute of Natural Sciences, Shanghai Jiao Tong University
时间：2021年7月23日（周五）上午10:00-11:30
地点：CIMC Auditorium (Room 300), JI Long Bin Building
飞书：https://vc.feishu.cn/j/861122753
讲座摘要
Quantum computation is currently a promising candidate for the future of computation. Given the current rise of interest in quantum computation, there is a great deal of information available, but this information could be difficult to navigate for beginners. I will first provide a basic introduction to quantum computation, with an emphasis on algorithms.
This talk is composed of two parts. The first part is a basic introduction to the motivation and basic ideas of quantum computation. In the second part, I will present some state-of-the-art theoretical results at the overlap between quantum computation and machine learning. In particular, I will touch upon a direction of my own research in the area of adversarial machine learning: which is at the interface of quantum computation, machine learning and security.
主讲人简介
Nana Liu is currently a tenure-track associate professor and PI of the Quantum Information and Technologies (QIT) group in the Institute of Natural Sciences and also teaches at the Joint Institute in SJTU. She specialises in quantum algorithms and other quantum protocols. She received her doctorate in 2016 from the University of Oxford as a Clarendon Scholar and was a Postdoctoral Research Fellow at the Center for Quantum Technologies in the University of Singapore and the Singapore University of Technology and Design. She was also the 2019 recipient of the MIT Technology Review’s 10 Innovators under 35 in the Asia-Pacific region. Her research focus is on employing quantum resources for both quantum computation and sensing. Her research also lies at the interface between quantum computation, security and machine learning, which will be useful in building a future quantum internet.