課程名稱 |
量子計算與資訊導論 Introduction to Quantum Computation and Information |
開課學期 |
112-1 |
授課對象 |
學程 量子計算與資訊學程 |
授課教師 |
管希聖 |
課號 |
Phys8049 |
課程識別碼 |
222 D3040 |
班次 |
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學分 |
3.0 |
全/半年 |
半年 |
必/選修 |
選修 |
上課時間 |
星期四7,8,9(14:20~17:20) |
上課地點 |
新物111 |
備註 |
總人數上限:60人 |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
課程大綱
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課程概述 |
Quantum computation and quantum information is the study of the information processing and computing tasks that can be accomplished using quantum mechanical systems. In this study, we exploit quantum effects, based on the principles of quantum mechanics, to compute or to process information in ways that are faster or more efficient than, or even impossible, on conventional computers or information processing devices. |
課程目標 |
The objective of the course is to provide an introduction to and a comprehensive review of quantum computing and quantum information processing to equip students with the ability and skill to understand and further study the emerging and disruptive quantum technologies and applications as they stand today and in the future. |
課程要求 |
Quantum Mechanics,
Quantum Physics,
Modern Physics,
Mathematical Physics,
Linear Algebra |
預期每週課後學習時數 |
4 ~ 6 hours per week |
Office Hours |
備註: TA: Hong-Yu Chen (陳宏宇)
Email : r11222047@ntu.edu.tw
Phone : 0976960890
Office : R801
Office hour: 15:10-16:20 every Friday
TA: Yu-Chao Huang (黃禹超)
Email : r11222015@g.ntu.edu.tw
Phone : 0972834377
Office : R801
Office hour: 15:00-16:00 every Tuesday |
指定閱讀 |
1. G. Benenti, G. Casati and G. Strini, Principles of Quantum Computation and Information: A Comprehensive Textbook 2nd Edition, World Scientific, Singapore, 2019.
2. N. S. Yanofsky and M. A. Mannucci, Quantum Computing for Computer Scientists, Cambridge University Press, 2012.
3. M. Nielsen, Quantum Information and Computation Summer School Lecture notes
(2002),
http://michaelnielsen.org/blog/?page_id=195
4. A. Matuschak and M. Nielsen, Quantum Country,
https://quantum.country/
5. Comprehensive list of books on Quantum Computation, Information,
Communication, Cryptography (textbooks, lecture series, popular, etc.)
http://web.archive.org/web/20130701115016/http:/qserver.usc.edu/confs/books.html
6. edX Courses on Quantum Computing
https://www.edx.org/learn/quantum-computing
https://www.edx.org/search?q=Quantum%20information
7. IBM Qiskit learning resources (including Online Qiskit Textbook)
https://qiskit.org/learn
8. IBM Quantum Learning
https://learning.quantum-computing.ibm.com/
9. arXiv.org e-Print archive: Quantum Physics (quant-ph)
http://arxiv.org/
10. Quantum Links
http://qserver.usc.edu/quantum-links/
11. US National Quantum Initiative and ongoing activities
https://www.quantum.gov/
12 Understanding Quantum Technologies 2022
https://www.oezratty.net/wordpress/2022/understanding-quantum-technologies-2022/
Look out for" Understanding Quantum Technologies 2023" at about the end of September, 2023. |
參考書目 |
Textbook:
Quantum Computation and Quantum Information: 10th Anniversary Edition, by M. A. Nielsen and I. L. Chuang (Cambridge, 2010). |
評量方式 (僅供參考) |
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