Beijing Institute of Mathematical Sciences and Applications Beijing Institute of Mathematical Sciences and Applications

  • About
    • President
    • Governance
    • Partner Institutions
    • Visit
  • People
    • Management
    • Faculty
    • Postdocs
    • Visiting Scholars
    • Staff
  • Research
    • Research Groups
    • Courses
    • Seminars
  • Join Us
    • Faculty
    • Postdocs
    • Students
  • Events
    • Conferences
    • Workshops
    • Forum
  • Life @ BIMSA
    • Accommodation
    • Transportation
    • Facilities
    • Tour
  • News
    • News
    • Announcement
    • Downloads
About
President
Governance
Partner Institutions
Visit
People
Management
Faculty
Postdocs
Visiting Scholars
Staff
Research
Research Groups
Courses
Seminars
Join Us
Faculty
Postdocs
Students
Events
Conferences
Workshops
Forum
Life @ BIMSA
Accommodation
Transportation
Facilities
Tour
News
News
Announcement
Downloads
Qiuzhen College, Tsinghua University
Yau Mathematical Sciences Center, Tsinghua University (YMSC)
Tsinghua Sanya International  Mathematics Forum (TSIMF)
Shanghai Institute for Mathematics and  Interdisciplinary Sciences (SIMIS)
BIMSA > Introduction to quantum computation \(ICBS\)
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 fatoring algorithm, HHL for solving linear equations, Grover's search, and quantum walk-based algorithms. At last, we will also discuss some frontier research areas in quantum computation and leave some questions.
Lecturer
Yu Wang
Date
7th March ~ 30th May, 2023
Location
Weekday Time Venue Online ID Password
Tuesday,Thursday 08:50 - 10:35 Online ZOOM 09 230 432 7880 BIMSA
Prerequisite
Linear algebra; Complex analysis; Quantum mechanics; Algorithm
Reference
1. Nielsen and Chuang .《Quantum Computation and Quantum Information》.
2. John Watrous的专著The Theory of Quantum Information. 在线链接https://cs.uwaterloo.ca/~watrous/TQI/TQI.pdf
3. Scott Aaronson的notes. Introduction to Quantum Information Science Lecture Notes. 在线链接https://www.scottaaronson.com/qclec.pdf
4. Preskill主页的lecture notes,http://theory.caltech.edu/~preskill/ph219/ph219_2021-22.html
Audience
Undergraduate , Graduate
Video Public
No
Notes Public
No
Language
Chinese
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.
Beijing Institute of Mathematical Sciences and Applications
CONTACT

No. 544, Hefangkou Village Huaibei Town, Huairou District Beijing 101408

北京市怀柔区 河防口村544号
北京雁栖湖应用数学研究院 101408

Tel. 010-60661855
Email. administration@bimsa.cn

Copyright © Beijing Institute of Mathematical Sciences and Applications

京ICP备2022029550号-1

京公网安备11011602001060 京公网安备11011602001060