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最終更新日：2025年4月21日

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情報科学特別講義II

Introduction of (Near-Term) Quantum Computing
This course gives introduction to quantum computing with near-term quantum devices. The course covers broad topics ranging from the basics of quantum algorithms to recent advances of quantum algorithms for noisy quantum devices as well as their possible applications in machine learning, optimization, and chemistry. The course also introduces how to implement quantum algorithms using open-source framework of quantum computing. The course is intended to help students understand the potential and limitations of currently available quantum devices.
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時間割／共通科目コード
コース名
教員
学期
時限
0510062
FSC-IS4062L1
情報科学特別講義II
Raymond Rudy
S1 S2
金曜5限
マイリストに追加
マイリストから削除
講義使用言語
日本語、英語
単位
2
実務経験のある教員による授業科目
NO
他学部履修
不可
開講所属
理学部
授業計画
Unit 1: Introduction to Quantum Computing｜Understanding Quantum Information and Computation Unit 2: Multiple Systems Unit 3: Quantum Circuits Unit 4: Quantum Teleportation and Superdense Coding Unit 5: Deutsch-Jozsa and Bernstein-Vazirani Algorithm Unit 6: Grover's Algorithm Unit 7: Quantum Fourier-Transformation and Phase Estimation Unit 8: Introduction to Qiskit Runtime and Primitives Unit 9: Quantum Applications - Optimization Unit 10: Quantum Algorithms for Machine Learning Unit 11: Quantum Chemistry Unit 12: Qiskit Runtime and Error Mitigation Part 2 Unit 13. Quantum Challenges with Qiskit Runtime Primitives
授業の方法
Weekly lectures with online materials for preparation. The lectures will be mainly for discussions and Q&A sessions. Contact the instructor by email if you need more information.
成績評価方法
No examinations. Grades will be based on attendance and submitting weekly quizzes. Two special assignments will be provided for additional scores but not compulsory.
教科書
Special links to online materials will be provided here: https://learn.qiskit.org/*****　 In addition, please refer to the following literatures. Qiskit textbook: https://qiskit.org/*****
参考書
Nielsen, Michael A., and Isaac L. Chuang. Quantum Computation and Quantum Information. Cambridge, UK: Cambridge University Press, September 2000. ISBN: 9780521635035. Preskill, J. Notes on Quantum Computation. (http://theory.caltech.edu/***** ) R. de Wolf. Quantum Computing: Lecture Notes. (http://homepages.cwi.nl/***** )
履修上の注意
Prior knowledge of linear algebra, classical algorithms, and programming are required. Understanding quantum mechanics is a plus but not required. Familiarity with programming tools is a plus because some assignments require students to write programs.
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