Introduction to quantum information
在上一学期中，我们讲到了上册中若干量子算法。在这一学期中，我们将主要介绍如何用量子状态表示和传送信息。具体而言，我们将介绍真实世界中量子信息处理时的量子噪声以及运算相关的量子信道；刻画两个量子态表达信息相近程度的度量，探讨量子信道对量子信息的保持；给出经典信息熵的量子版本来研究量子系统中的不确定性；介绍常见的量子纠错码来抵抗量子噪声；介绍由量子信息许多特有性质产生的可证明安全性的量子密码技术；最后我们将以专题的形式介绍量子信息中近期的一些研究方向。
Lecturer
Date
25th September ~ 20th December, 2023
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Monday,Wednesday | 09:50 - 11:25 | A3-2-301 | ZOOM 01 | 928 682 9093 | BIMSA |
Reference
M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge, 2010).
Video Public
No
Notes Public
No
Lecturer Intro
Yu Wang received his PhD degree in computer software and theory from the Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences in 2019. After graduation, he worked at Pengcheng Laboratory in Shenzhen. In December 2020, he joined the Yanqi Lake Beijing Institute of Mathematical Science and Applications. The main research area is about quantum information and quantum computation. Specifically, the current research is focuses on quantum state tomography, in order to optimize the measurement and computation resouce to read out the unknown quantum states. Besides, it is also studied to design new quantum communication protocols by different quantum walk models.