Leader of Teaching Group: 杨威

Members of Teaching Group: 苏兆锋

Course Introduction: 量子计算与机器学习是两个高速发展的研究领域，涵盖了从量子光学到量子信息论，再到电子工程、人工智能等诸多学科的综合应用，二者的结合——量子机器学习则是当前的前沿热点。本课程面向计算机科学与技术学院高年级本科生，将重点讲述量子计算与机器学习的基本概念、实现原理、物理基础和信息论基础、协议与算法、编码电路等内容，并探讨量子机器学习的可能应用。

Schedule: 1~18周 :5(8,9,10)

Target Students: 本科生

Discipline: Computer Science and Technology

Class classroom: 3C102

School Year: 2021-2022

Semester: Autumn Term

Course number: CS4007

Credits: 3.0

Course Type: Undergraduate Course:

Top-Quality Courses or Not: no

Required Class Hours: 60.0

Courses and reference books: Michael A. Nielsen, Isaac L. Chuang. Quantum Computation and Quantum Information: 10th Anniversary Edition Hardcover. 2010