QUANTUM INTERNET AND QUANTUM INFORMATION THEORY

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QUANTUM INTERNET AND QUANTUM INFORMATION THEORY

Lecturer(s)	TAKEOKA, MASAHIRO; SATOH, TAKAHIKO
Credit(s)	2
Academic Year/Semester	2026 Fall
Day/Period	Thu.2
Campus	Yagami
Class Format	Face-to-face classes (conducted mainly in-person)
Registration Number	04064
Faculty/Graduate School	[MASTER'S] SCIENCE AND TECHNOLOGY
Department/Major	INTEGRATED DESIGN ENGINEERING
Year Level	1, 2
Field	MASTER'S PROGRAM: ELECTIVE COURSES OFFERED BY GRADUATE SCHOOL OF SCIENCE AND TECHNOLOGY(16) MASTER'S PROGRAM: MAIN SPECIALIZED COURSES ELECTRONICS AND ELECTRICAL DEVICES ELECTIVE(16) MASTER'S PROGRAM: MAIN SPECIALIZED COURSES ELECTRONICS AND ELECTRICAL SYSTEMS ELECTIVE(16)
Remarks	Courses for International Graduate Programs (Lectures will be offered in English) Courses open to 4th year undergraduate students
Grade Type	This item will appear when you log in (Keio ID required).
Course Description	The goal of this course is to learn the configuration of the next-generation infrastructure, the Quantum Internet, and delve into the quantum information theory that underlies quantum communication and quantum cryptography. We discuss an overview of the quantum information theory, which is a generalization of Shannon’s information theory with quantum mechanics, For the Quantum Internet, the network components are discussed and then understanding protocol design for achieving quantum communication through practical exercises.
K-Number	GST-ID-67303-212-60

Course Administrator	Faculty/Graduate School	GST	SCIENCE AND TECHNOLOGY
Course Administrator	Department/Major	ID	INTEGRATED DESIGN ENGINEERING
Main Course Number	Level	6	Master's level coursework
	Major Classification	7	Master's Program Prescribed
	Minor Classification	30	Electronics and Electrical Engineering
	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	2	English
Academic Discipline		60	Information science, computer engineering, and related fields

Course Contents/Objectives/Teaching Method/Intended Learning Outcome

The Quantum Internet will network various quantum devices to extract the ultimate potential of quantum information technologies. In this course, we discuss the basic structure of the Quantum Internet technology. As its theoretical background, we also discuss quantum information theory, which is a general extension of Shannon's information into quantum domain. The lectures of the quantum internet and quantum information theory are given alternately.

Course Taught by Faculty Member with Professional Experience

Not applicable

Active Learning MethodsDescription

Not applicable

Preparatory Study

Review of each lecture

Course Plan

Lesson 1

Introduction and basics of quantum information

Lesson 2

Quantum Information Theory 1: Quantum mechanics for quantum information

Lesson 3

Quantum Internet 1: Quantum communication using quantum teleportation

Lesson 4

Quantum Information Theory 2: (classical) information theory

Lesson 5

Quantum Internet 2: Basics II, Quantum Internet Applications

Lesson 6

Quantum Information Theory 3: Quantum information theory, data compression, entanglement

Lesson 7

Quantum Internet 3: Advance I, Quantum Repeater Networks

Lesson 8

Quantum Information Theory 4: Quantum optics

Lesson 9

Quantum Internet 4: Advance II, Topics of Quantum Repeater Networks

Lesson 10

Quantum Information Theory 5: Quantum cryptography

Lesson 11

Quantum Internet 5: Research introduction I, Current testbed network

Lesson 12

Quantum Information Theory 6: Quantum channel coding and capacities I

Lesson 13

Quantum Internet 6: Research Introduction II, Future Quantum Internet Architecture

Lesson 14

Quantum Information Theory 7: Quantum channel coding and capacities II

Other

Summary

Method of Evaluation

Attendance, exercises, and final report

Generative AI Policy for Classes

This course partially allows the use of generative AI. Specifically, it may be used in the following purposes:

- Assisting the brainstorming and the conceptualization stage
- Assisting with research (however, you must verify the accuracy of the information yourself).
However, please keep the following in mind:
- Unauthorized reproduction of text or pictures by AI or the use of information from unknown sources may be recognized as cheating.

Textbooks

No textbook

Reference Books

M. Nielsen and I. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, 2000).
R. Van Meter, Quantum Networking (Wiley-ISTE, 2014).
Mark M. WIlde, Quantum Information Theory (2nd ed. Cambridge University Press, 2017) https://arxiv.org/abs/1106.1445

Lecturer's Comments to Students

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Question/Comments

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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.