2026 (Current Year) Faculty Courses School of Computing Department of Computer Science Graduate major in Super Smart Society

Introduction to Convergence Science: Quantum Science

Academic unit or major: Graduate major in Super Smart Society
Instructor(s): Keigo Arai / Hayato Goto / Yoshiyasu Doi / Shinobu Onoda / Masanari Kouguchi / Keisuke Mera / Masaru Fukushima
Class Format: Lecture (On-demand)
Media-enhanced courses: -
Day of week/Period (Classrooms): On-demand
Class: -
Course Code: SMT.B601
Number of credits: 100
Course offered: 2026
Offered quarter: 1Q
Syllabus updated: Mar 10, 2026
Language: English

Syllabus

Course overview and goals

This course focuses on Quantum Science challenges, a critical frontier in realizing a Super Smart Society. We will examine how cutting-edge science can be leveraged to smart Quantum Science and explore how students’ respective fields of expertise can be applied to these solutions. Furthermore, by drawing on the instructor’s multifaceted career, students will gain insights to inspire and shape their own future career planning.

Course description and aims

Students will cultivate the specialized ability to create original science and technology in specialized fields spanning cyberspace and physical space, the ability to see the path from quantum science to super smart society, the ability to solve social issues by combining different fields, and the leadership ability to lead each industry, government, and academia sector. In particular, students will be able to briefly explain the current status and future of quantum computers, quantum sensors, and quantum cryptographic communication.

Student learning outcomes

実務経験と講義内容との関連 (又は実践的教育内容)

Provided by external lecturers who have professional expertise at the companies associated with the Super Smart Society Promotion Consortium.

Keywords

Super smart society, quantum science and artificial intelligence, fundamental technology, system implementation, new society creation

Competencies

Specialist skills
Intercultural skills
Communication skills
Critical thinking skills
Practical and/or problem-solving skills

Class flow

A series of lectures given by several lecturers will be delivered on demand, followed by discussion between students.
After seven lectures, report assignment will be given.

Course schedule/Objectives

	Course schedule	Objectives
Class 1	Fundamentals of quantum computers, quantum hardware, quantum algorithms, quantum branching machines	instructions in lecture
Class 2	Hybrid quantum computing platform Highly efficient phase-rotation gated quantum computing architecture Quantum devices, circuits, quantum algorithms	instructions in lecture
Class 3	Quantum sensor using NV center (nitrogen (N)-vacancy (V)) in diamond, Quantum sensors using wide bandgap semiconductor	instructions in lecture
Class 4	Quantum sensor using NV center (nitrogen (N)-vacancy (V)) in diamond, Quantum sensors using wide bandgap semiconductors	instructions in lecture
Class 5	Quantum measurement and sensing devices using Diamond NV Center Nanomeasuring equipment and materials/device evaluation technology using quantum sensor devices Magnetoencephalography measurement system that achieves high sensitivity/high resolution	instructions in lecture
Class 6	Long-distance technology for quantum cryptographic communication, "Chip-based QKD (Quantum Key Distribution) technology" that miniaturizes quantum key distribution devices and quantum internet	instructions in lecture
Class 7	Quantum cryptography communication, quantum security, quantum cryptography network Operational testing of quantum cryptography network testbed connecting multiple companies Technology for implementing quantum-resistant computer encryption on IC cards	instructions in lecture

Study advice (preparation and review)

Textbook(s)

Specified in the lecture

Reference books, course materials, etc.

Specified in the lecture

Evaluation methods and criteria

Grading will be based on the final report on "Idea to convergent my expertise and cutting-edge research and development that are introduced in the lectures to realize super smart society"

Related courses

SMT.B601 ： Introduction to Convergence Science: Quantum Science
SMT.B602 ： Introduction to Convergence Science: Smart Healthcare
SMT.B603 ： Introduction to Convergence Science : Smart Agriculture
SMT.B604 ： Introduction to Convergence Science: Smart Workplaces
SMT.B605 ： Introduction to Convergence Science: Smart Production
SMT.B606 ： Introduction to Convergence Science: Smart Ocean

Prerequisites

None

Other

This course is the successor to the courses on SSS Innovation offered by the WISE (World-leading Innovative & Smart Education) Program for Super Smart Society (SSS.S401–SSS.S406) until Academic Year (AY) 2025. These courses are now being offered as a curriculum specifically developed for doctoral students.