2022 Super Smart Society Innovation A1: Frontiers in Quantum Technology

Font size  SML

Register update notification mail Add to favorite lecture list
Academic unit or major
Academy for Super Smart Society
Sampei Mitsuji  Nakao Hiroya  Fukuda Eisuke  Kodera Tetsuo  Hirahara Toru  Yoneda Jun  Nishihara Akinori  Yu Tao  Kaji Daisuke  Shirane Masayuki  Oshima Takeshi 
Class Format
Lecture    (On-demand)
Media-enhanced courses
Day/Period(Room No.)
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
Access Index

Course description and aims

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.

Student learning outcomes

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.

Course taught by instructors with work experience

Applicable How instructors' work experience benefits the course
Provided by external lecturers who have professional expertise at the companies associated with the Super Smart Society Promotion Consortium.


Super-Smart Society, Quantum Science and Artificial Intelligence, Fundamental Technologies, System Implementation, Development of Society

Competencies that will be developed

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 T2SCHOLA. Assignments should be submitted via T2SCHOLA. Feedback from lecturers will be given via T2SCHOLA.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Overview of quantum computers Specified in the lecture
Class 2 NEC’s activities for superconducting quantum computers Specified in the lecture
Class 3 Quantum and simulated annealing theory and its applications Specified in the lecture
Class 4 Diamond nitrogen-vacancy (NV) center and associated quantum sensing Specified in the lecture
Class 5 Spin defects/color centers in other wide bandgap semiconductors Specified in the lecture
Class 6 Creation of spin defects/color centers Specified in the lecture
Class 7 AI Technology for Mobility Industry Specified in the lecture

Out-of-Class Study Time (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.


Specified in the lecture

Reference books, course materials, etc.

Specified in the lecture

Assessment criteria and methods

Grading will be based on the discussions with other students and lecturers about the contents of the lecture videos.

Related courses

  • SSS.S402 : Super Smart Society Innovation A2: IoT/ Robotics/Smart city
  • SSS.S403 : Super Smart Society Innovation A3: Frontiers in Smart Agriculture

Prerequisites (i.e., required knowledge, skills, courses, etc.)


Page Top