2021 Special graduate degree programs Specially Offered Degree Programs for Graduate Students Academy for Super Smart Society
Super Smart Society Innovation A1: Frontiers in Quantum Technology
- Academic unit or major
- Academy for Super Smart Society
- Instructor(s)
- Mitsuji Sampei / Hiroya Nakao / Eisuke Fukuda / Tetsuo Kodera / Toru Hirahara / Jun Yoneda / Daisuke Kaji / Masayuki Shirane / Takeshi Oshima
- Class Format
- Lecture
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 7-8 Fri
- Class
- -
- Course Code
- SSS.S401
- Number of credits
- 100
- Course offered
- 2021
- Offered quarter
- 2Q
- Syllabus updated
- Jul 10, 2025
- Language
- English
Syllabus
Course overview and goals
A series of lectures on cutting-edge issues in solving real-world problems and realizing super smart society will be provided to master-course and doctor-course students enrolled in the WISE (World-leading Innovative & Smart Education) program for Super Smart Society, in cooperation with the Super Smart Society Promotion Consortium.
Course description and aims
The aim of this course is to help students cultivate high-level understanding of both quantum science and a super-smart society, professional expertise in specialized fields related to both cyber space and physical space technologies, and critical-thinking skills to solve multidisciplinary social issues.
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 Technologies, System Implementation, Development of Society
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 (along with ppt slides). Students can promptly ask questions and communicate with each other via Slack. Assignments should be submitted via T2SCHOLA. Feedback from lecturers will be given via T2SCHOLA or Slack.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Diamond nitrogen-vacancy (NV) center and associated quantum sensing | Specified in the lecture |
| Class 2 | Spin defects/color centers in other wide bandgap semiconductors | Specified in the lecture |
| Class 3 | Creation of spin defects/color centers | Specified in the lecture |
| Class 4 | Overview of quantum computers | Specified in the lecture |
| Class 5 | NEC’s activities for superconducting quantum computers | Specified in the lecture |
| Class 6 | Quantum and simulated annealing theory and its applications | Specified in the lecture |
| Class 7 | AI Technology for Mobility Industry | Specified in the lecture |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterward (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Specified in the lecture
Reference books, course materials, etc.
Specified in the lecture
Evaluation methods and criteria
Your performance will be evaluated based on your reports.
Related courses
- SSS.S402 ： Super Smart Society Innovation A2: IoT/ Robotics/Smart city
- SSS.S451 ： Super Smart Society Innovation B1
Prerequisites
None