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2024 Faculty Courses School of Science Department of Physics Graduate major in Physics

Advanced Special Topics in Physics VIII

Academic unit or major
Graduate major in Physics
Instructor(s)
Toru Hirahara / Masayuki Ohzeki
Class Format
Lecture (Face-to-face)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
Intensive
Class
-
Course Code
PHY.P658
Number of credits
100
Course offered
2024
Offered quarter
2Q
Syllabus updated
Mar 17, 2025
Language
English

Syllabus

Course overview and goals

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.

Course description and aims

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.

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)

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

  • 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/Objectives

Course schedule Objectives
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

Study advice (preparation and review)

Textbook(s)

Fundamentals of Quantum Annealing (Kyoritsu Shuppan)

Reference books, course materials, etc.

Distributed as appropriate.

Evaluation methods and criteria

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

To bring some sense of challenge in research issues, personal DX promotion, etc.