QUANTUM COMPUTING 1A

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Subtitle	量子計算とアルゴリズムの基礎を学ぶ
Lecturer(s)	SATOH, TAKAHIKO
Credit(s)	1
Academic Year/Semester	2026 Spring (1st Half)
Day/Period	Thu.5
Campus	Yagami
Class Format	Face-to-face classes (conducted mainly in-person)
Registration Number	04724
Faculty/Graduate School	SCIENCE AND TECHNOLOGY
Department/Major	INFORMATION AND COMPUTER SCIENCE
Year Level	3
Field	SPECIALIZED SUBJECTS
Grade Type	This item will appear when you log in (Keio ID required).
Course Description	In this lecture we systematically learn how abstract quantum algorithms and actual quantum computers are connected; in IA we learn the basics of quantum information and quantum algorithms through quantum programming; in IB we learn the behavior of middleware such as quantum compilers and quantum processors, and the function of the Quantum Internet that connects quantum devices together.
K-Number	FST-IC-35333-211-60

Course Administrator	Faculty/Graduate School	FST	SCIENCE AND TECHNOLOGY
Course Administrator	Department/Major	IC	INFORMATION AND COMPUTER SCIENCE
Main Course Number	Level	3	Third-year level coursework
	Major Classification	5	Advanced Major Courses
	Minor Classification	33	Fundamentals of Computer Science - Learning Level 3
	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		60	Information science, computer engineering, and related fields

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

量子計算機の基本的な仕組みと量子アルゴリズムに関して学ぶ
さらに、汎用的な量子アルゴリズムを用いて小規模な問題を解くためのプログラミングを行う

Course Taught by Faculty Member with Professional Experience

Not applicable

Active Learning MethodsDescription

Problem-based learning

Preparatory Study

講義内容の復習として、30分〜1時間程度の所要時間を見込む演習課題が複数回出題される

Course Plan

Lesson 1

イントロダクション

Lesson 2

基本編：量子回路と量子もつれ

Lesson 3

基本編：論理ゲートによる量子演算

Lesson 4

基本編：量子探索アルゴリズム

Lesson 5

NISQ編：NISQデバイスと量子超越性

Lesson 6

NISQ編：NISQアルゴリズム

Lesson 7

NISQ編：ミドルウェアによる性能向上

Lesson 8

量子コンピューティングIBで行われる

Lesson 9

量子コンピューティングIBで行われる

Lesson 10

量子コンピューティングIBで行われる

Lesson 11

量子コンピューティングIBで行われる

Lesson 12

量子コンピューティングIBで行われる

Lesson 13

量子コンピューティングIBで行われる

Lesson 14

量子コンピューティングIBで行われる

Other

課題・レポートなど

Method of Evaluation

課題および最終レポートを予定している

Generative AI Policy for Classes

・AIを使用した場合は、提出物に”何を聞いて、何を理解したか”を明記してください

Reference Books

『量子情報科学入門第2版』石坂智他(著), 共立出版 2024年
『量子コンピュータシステム ―ノイズあり量子デバイスの研究開発―』ヨンシャン・ディン他(著), オーム社 2023年
『量子コンピューティング: 基本アルゴリズムから量子機械学習まで』嶋田義皓 (著), オーム社 2020年
『量子コンピュータと量子通信』 Michael A. Nielsen (著), Isaac L. Chuang (著), オーム社 2004年

Lecturer's Comments to Students

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Lab / Skill-development / On-site training	An educational approach in which students deepen their understanding of educational content through first-hand experience and trial-and-error by initiating their own activities at facilities and accommodations both on and off campus.
Fieldwork	An educational approach in which students conduct surveys and observations on their own to collect information both on and off campus.
Presentations	An educational approach in which students deepen their understanding of educational content by preparing materials and delivering presentations in class.
Discussions, Debates	An educational approach in which students deepen their understanding of educational content through sharing and discussing their opinions on designated topics.
Group work	An educational approach in which students are divided into small groups and assigned tasks on issues related to educational content.
Role-playing	An educational approach in which students deepen their understanding of educational content by being assigned specific roles to play, thus allowing them to experience different viewpoints.
Flipped classroom	An educational approach in which students study the course lecture in advance, and questions and discussions relating to that content are then held in class.
Problem-based learning	An educational approach in which students acquire knowledge and skills related to educational content by attempting to tackle specific projects or problems posed to them.