Report title: A first look at quantum computation: basics and prospects
Reporter: Nana Liu Associate Professor, Institute of Natural Sciences, Shanghai Jiaotong University
Reporting time: December 3, 2020 10:00-11:00
Report location: ZOOM meeting ID: 639 4303 4539,
Click the link to join the conference, or add to the conference list:
https://zoom.com.cn/j/63943034539
School contact: Wang Ruishu wangrs_math@mail.jlu.edu.cn
Report summary:
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 provide a basic up- to-date introduction to research in quantum computation, with an emphasis on algorithms. This talk is composed of three parts. The first part is a basic introduction to the motivation and basic ideas of quantum computation. In the second part, I will introduce in more detail some basic quantum algorithms that form the backbone of many existing algorithms and the intuition behind them. In the third part, I will present some state-of-the-art theoretical results in quantum computation and the key ways forward. In particular, I will touch upon a direction of my own research at the interface between quantum computation and machine learning.
Brief introduction of the speaker:
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 at Shanghai Jiao Tong University, specialising 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. 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.
