图 书 馆
量子信息科学I，第2部分Quantum Information Science I, Part 2 |
|
| 课程网址: | https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8.370.... |
| 主讲教师: | Isaac Chuang; Peter Shor |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2021-02-15 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This course is part of a three-course series that provides an introduction to the theory and practice of quantum computation. This second course builds on the foundational introduction provided in the first course, 8.370.1x, and explores simple quantum protocols and algorithms, including: Quantum teleportation and superdense coding The Deutsch-Jozsa and Simon's algorithms Grover's quantum search algorithm Shor's quantum factoring algorithm This course will help you understand what quantum computers can do and how they work. You'll learn how you can contribute to discovering new things and solving problems in quantum information science and engineering. The complete three-course series includes: 8.370.1x: Foundations of quantum and classical computing – quantum mechanics, reversible computation, and quantum measurement 8.370.2x: Simple quantum protocols and algorithms – teleportation and superdense coding, the Deutsch-Jozsa and Simon’s algorithm, Grover’s quantum search algorithm, and Shor’s quantum factoring algorithm 8.370.3x: Foundations of quantum communication – noise and quantum channels, and quantum key distribution This course has been authored by one or more members of the Faculty of the Massachusetts Institute of Technology. Its educational objectives, methods, assessments, and the selection and presentation of its content are solely the responsibility of MIT. MIT gratefully acknowledges major support for this course, provided by IBM Research. This course on quantum information science is a collective effort to further advance knowledge and understanding in quantum information and quantum computing. For more information about MIT’s Quantum Curriculum, visit quantumcurriculum.mit.edu. |
| 关 键 词: | 量子隐形传态与超密集编码; 格罗弗量子搜索算法; 隐形传态和超密集编码; 量子搜索算法 |
| 课程来源: | 麻省理工学院公开课 |
| 数据采集: | 2022-04-09：cyh |
| 最后编审: | 2022-04-09：cyh |
| 阅读次数: | 81 |