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School of Environment and Society
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- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Physics
- Instructor(s)
- Ohzeki Masayuki
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- Day/Period(Room No.)
- Intensive ()
- Group
- -
- Course number
- PHY.P658
- Credits
- 1
- Academic year
- 2024
- Offered quarter
- 2Q
- Syllabus updated
- 2024/3/15
- Lecture notes updated
- -
- Language used
- English
- Access Index
-
Course description and aims
With the maturation of theoretical and experimental research on quantum computers, interest in the field is growing.
In this lecture, students will gain hands-on experience in creating solutions using quantum annealing machines through practical workshops.
First, you will learn its basic concepts, contents, and programming techniques. After learning the basic concepts, contents, programming techniques, and some example problems, a student-led workshop will be held.
The goal of the workshop is to create the seeds for research that fuses your own research field with quantum annealing.
The students will also experience industry-academia collaboration by responding to requests and needs from some private companies.
Student learning outcomes
The students will be able to use the actual quantum annealing machine,
Furthermore, they will be able to conduct research activities using it on their own initiative.
Course taught by instructors with work experience
| ✔ Applicable | How instructors' work experience benefits the course |
|---|---|
|
Creating solutions using quantum annealing machines and using the results Discuss the perspectives required to create services with business value, Discuss business plans and business feasibility |
Keywords
Quantum computers, quantum annealing, Optimization problem, Machine learning
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
Lectures will be followed by workshops, focusing on programming and communication.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | About Quantum Annealing | Review of its concepts and principles |
| Class 2 | How to program a quantum annealing machine | Various program execution |
| Class 3 | Examples of solutions using quantum annealing machines | Planned development of various solution cases |
| Class 4 | Integrate your research field with quantum annealing | Consider the application to your own research questions |
| Class 5 | Programming with Quantum Annealing Machines. | Quantum annealing applied to research projects |
| Class 6 | Review and discussion of results using quantum annealing machines | Considerations for Performance Improvement |
| Class 7 | Presentation | Summarize research results |
Textbook(s)
Fundamentals of Quantum Annealing (Kyoritsu Shuppan)
Reference books, course materials, etc.
Distributed as appropriate.
Assessment criteria and methods
Mainly by homework
Related courses
- PHY.S301 ： Statistical Mechanics
- PHY.S312 ： Statistical Mechanics II
- PHY.S440 ： Statistical Mechanics III
- PHY.Q207 ： Introduction to Quantum Mechanics(Lecture)
- PHY.Q208 ： Quantum Mechanics II(Lecture)
- PHY.Q311 ： Quantum Mechanics III(Lecture)
Prerequisites (i.e., required knowledge, skills, courses, etc.)
To bring some sense of challenge in research issues, personal DX promotion, etc.
