Introduction to Quantum Information I
We frequently hear a hot topic about quantum, such as quantum entanglement, quantum communication, quantum computers. In this course, we will discuss the detailed theory behind these concepts. It aims to help learners with a systematic understanding of the field of quantum information. We will start from the mathematica basis, four fundamental assumptions of quantum mechanics, then introduce important quantum communication protocols, quantum circuit model and some quantum algorithms.
Lecturer
Date
15th March ~ 7th June, 2022
Website
Prerequisite
Linear algebra; Complex analysis; Quantum mechanics; Algorithm
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.