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量子計算論

Introduction of (Near-Term) Quantum Computing
The goal of this course is to learn how to implement utility-scale applications on a quantum computer. To achieve the goal, the course covers from the basics of quantum information to recent advances of quantum algorithms for noisy quantum devices as well as circuit optimization and error mitigation techniques. The course also introduces how to implement quantum algorithms using open-source framework of quantum computing and real quantum device with more than 100 qubits. 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
4810-1166
GIF-CS5044L3
量子計算論
小野寺 民也
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
開講所属
情報理工学系研究科
授業計画
Unit 1: Invitation to the Utility era/Basics of Quantum Information Unit 2: Quantum Gates, Circuits, and Measurements Unit 3: Local Operations and Classical Communication Unit 4: Quantum Algorithms: Grover’s algorithm Unit 5: Quantum Algorithms: Hamiltonian Simulation Unit 6: Quantum Algorithms: Variational Quantum Algorithms (VQA) Unit 7: Quantum Hardware Unit 8: Classical Simulation Unit 9: Quantum Circuit Optimization Unit 10: Quantum Noise Model Unit 11: Quantum Error Mitigation Unit 12: Quantum Utility I (127Qubit GHZ) Unit 13. Quantum Utility II (Utility paper implementation ) Unit 14. Quantum Utility III (Krylov subspace expansion) 
授業の方法
Weekly lectures in person.
成績評価方法
No examinations. Grades will be based on attendance, the midterm report, and the final report. Two special assignments will be provided for additional scores but not compulsory.
教科書
None in particular
参考書
IBM Quantum Learning - Catalog: https://learning.quantum.ibm.com/***** Nielsen, Michael A., and Isaac L. Chuang. Quantum Computation and Quantum Information. Cambridge, UK: Cambridge University Press, September 2000. ISBN: 9780521635035.
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 most assignments require students to write programs. All lectures will be held in person. Recording will also be available for reviewing.