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TOPICS IN PHYSICS B
| Subtitle | Quantum Computing and Quantum Algorithm |
|---|---|
| Lecturer(s) | FUJII, KEISUKE |
| Credit(s) | 2 |
| Academic Year/Semester | 2023 Spring(Intensive)(Intensive) |
| Open Day | Aug. 29(2, 4, 5 period), Aug. 30(1, 2, 4, 5 period), Aug. 31(1, 2, 4, 5 period), Sep. 1(1, 2, 4 period) |
| Campus | Yagami |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 07886 |
| Faculty/Graduate School | [MASTER'S] SCIENCE AND TECHNOLOGY |
| Department/Major | FUNDAMENTAL SCIENCE AND TECHNOLOGY |
| Year Level | 1, 2 |
| Field | MASTER'S PROGRAM: ELECTIVE COURSES OFFERED BY GRADUATE SCHOOL OF SCIENCE AND TECHNOLOGY |
| Remarks | Courses open to 4th year undergraduate students |
| K-Number | GST-FS-67203-211-13 |
| Course Administrator | Faculty/Graduate School | GST | SCIENCE AND TECHNOLOGY |
|---|---|---|---|
| Department/Major | FS | FUNDAMENTAL SCIENCE AND TECHNOLOGY | |
| Main Course Number | Level | 6 | Master's level coursework |
| Major Classification | 7 | Master's Program Prescribed | |
| Minor Classification | 20 | Physics | |
| Subject Type | 3 | Elective subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 1 | Japanese | |
| Academic Discipline | 13 | Condensed matter physics and related fields | |
Course Contents/Objectives/Teaching Method/Intended Learning Outcome
This course will cover the basics of quantum information and the principles of computation utilizing quantum mechanics, the most fundamental physical laws. Students will learn about quantum algorithms that can be used to accelerate factoring and simulating quantum many-body systems. The course will also cover the mechanisms behind these algorithms, as well as recent developments in noisy intermediate-scale quantum computing applications. Through this course, students will gain an understanding of the mathematical foundations of quantum states, quantum operations, and measurements, and will develop a deep understanding of the structure and performance of quantum computers and quantum algorithms.
Course Plan
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Method of Evaluation
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Reference Books
Quantum Computation and Quantum Information, Michael A. Nielsen and Isaac L. Chuang, Cambridge University Press, 2000, ISBN 0-521-63503-9
Lecturer's Comments to Students
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