Introduction to quantum computation
We often hear about hot topics in quantum, such as quantum entanglement, quantum communication, and quantum computers. In this course, we will discuss the theory behind these concepts in detail. The goal is to help beginners gain a systematic understanding of the field of quantum computation. We will start with the mathematical basis of quantum mechanics to learn about quantum states, quantum evolution, quantum measurement, and quantum composite systems. We will then discuss quantum teleportation, superdense coding, and Bell inequality. Later, we introduce quantum circuits, the elementary unit for quantum computers, and present some famous quantum algorithms, such as Deutsch-Jozsa, Fourier transformation, phase estimation, Shor's factoring algorithm, HHL for solving linear equations, Grover's search, and quantum walk-based algorithms. Finally, we will also discuss some frontier research areas in quantum computation and leave some questions.

讲师
日期
2024年03月19日 至 06月18日
位置
Weekday | Time | Venue | Online | ID | Password |
---|---|---|---|---|---|
周二,周四 | 14:30 - 16:10 | A3-2-102 | ZOOM 14 | 712 322 9571 | BIMSA |
修课要求
Advanced Algebra, Complex Analysis, Quantum Mechanics
参考资料
1: Nielsen and Chuang. "Quantum Computation and Quantum Information."
2: John Watrous. "The Theory of Quantum Information." Online link: https://cs.uwaterloo.ca/~watrous/TQI/TQI.pdf
3: Scott Aaronson. "Introduction to Quantum Information Science Lecture Notes." Online link: https://www.scottaaronson.com/qclec.pdf
4: Lecture notes by Preskill available on his homepage. Online link: http://theory.caltech.edu/~preskill/ph219/ph219_2021-22.html
2: John Watrous. "The Theory of Quantum Information." Online link: https://cs.uwaterloo.ca/~watrous/TQI/TQI.pdf
3: Scott Aaronson. "Introduction to Quantum Information Science Lecture Notes." Online link: https://www.scottaaronson.com/qclec.pdf
4: Lecture notes by Preskill available on his homepage. Online link: http://theory.caltech.edu/~preskill/ph219/ph219_2021-22.html
听众
Undergraduate
, Advanced Undergraduate
, Graduate
, 博士后
视频公开
不公开
笔记公开
不公开
语言
中文
讲师介绍
王宇2019年于中国科学院数学与系统科学研究院博士毕业,取得计算机软件与理论学位,毕业后曾于深圳鹏城实验室工作,2020年12月加入雁栖湖应用数学研究院,研究方向为量子信息和量子计算,目前的主要研究领域为量子游走和量子态层析,具体而言,通过量子游走相关理论模型设计新型量子信息处理协议;通过优化测量资源和计算资源以高效读取未知量子态的信息或者预测其性质。