Course title
L00356003
Quantum Computer

WATABE Shohei

KANAO Taro
Middle-level Diploma Policy (mDP)
Program / Major mDP Goals Courses
Fundamental Mechanical Engineering F 産業界や社会の要請を把握して解決するべき課題を設定し、さまざまな工学分野の知識を関連付けながら設計生産技術を活用することで、立案した構想に従って研究を進め課題を解決することができる。 Sub
Environment and Materials Engineering B 地球環境や地域社会との調和を見据えて、さまざまな工学分野に関わる問題を解決することができる。 Sub
Chemistry and Biotechnology B 地球環境や地域社会との調和を見据えて、さまざまな工学分野に関わる問題を解決することができる。 Sub
Electrical Engineering and Robotics D 電気工学や関連する工学の技術分野を課題に適用し、社会の要求を解決するために応用することができる。 Sub
Advanced Electronic Engineering E 専門的デザイン課題について解決する能力を身に付けることができる。 Sub
Information and Communications Engineering F 社会のニーズに対して技術課題を主体的に発見し、工学分野における分野横断的な知識も活用しつつ、計画的・継続的に取り組んで課題を達成することができる。 Sub
Computer Science and Engineering B-1 コンピュータサイエンスの数理的基礎と問題分析のスキルを身に付けることができる。 Main
Computer Science and Engineering B-2 コンピュータサイエンスの各分野の基礎知識とその応用能力を身に付けることができる。 Main
Urban Infrastructure and Environment G ⼟⽊⼯学における現実の問題について、⼯学・専⾨基礎知識を⽤いて理解・解決することができる。 Sub
Purpose of class
To learn the principles of quantum mechanics that form the foundation of quantum computers, and to learn elementary quantum computing algorithms. Furthermore, to learn quantum hardware and quantum error correction.
Course description
A quantum computer is a next-generation computer that operates on principles entirely different from those of conventional computers. In recent years, the potential of quantum computers to overcome challenges that were previously difficult to solve has garnered significant attention, leading to rapid research and development both domestically and internationally. Particularly in the industrial sector, there is a growing demand for professionals who can drive the next wave of technological innovation, and engineers with knowledge and skills in quantum computing are becoming increasingly important.
This lecture will start with the principles underlying quantum computers and provide a clear and accessible introduction to the fundamentals of quantum computing. Additionally, the lecture covers quantum hardware and quantum error correction. This lecture helps students develop the foundational skills necessary to utilize quantum computers in the future.
Goals and objectives
  1. To understand the fundamental principles of quantum mechanics and to solve simple examples. (Class schedule 1, 2, 3)
  2. To understand elementary quantum algorithms and to solve simple examples. (Class schedule 4, 5, 6, 8, 9, 10)
  3. To understand the properties of qubits, which form the foundation of quantum hardware, and quantum error correction, and to solve simple examples. (Class schedule 11, 12, 13)
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Check Tests Midterm Exam Final Exam Total.
1. 10% 15% 25%
2. 20% 15% 15% 50%
3. 10% 15% 25%
Total. 40% 30% 30% -
Evaluation method and criteria
Check tests (40%), midterm exam (30%), and final exam (30%). Over 60% in total is acceptable.
If you understand and explain the fundamental concepts of quantum mechanics, quantum algorithms, quantum hardware and quantum error correction, and you solve problems whose levels are the same as examples treated in classes, you will be able to achieve a total score of 60% or higher.
Language
Japanese
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Quantum Computing Fundamentals 1.
Introduction to Quantum Computing and Basics of Quantum Mechanics
Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
2. Quantum Computing Fundamentals 2.
Single Qubit and Its Gate Operations
Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
3. Quantum Computing Fundamentals 3.
Multiple Qubits and Their Gate Operations
Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
4. Quantum Annealing and Its Applications Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
5. Basic Quantum Algorithms Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
6. Grover’s Search algorihtms and Its Applications Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
7. Midterm Exam and Comments Review the contents in Lectures from 1 to 6. 365minutes
8. Quantum Phase Estimation 1. Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
9. Quantum Phase Estimation 2. Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
10. NISQ Algorithm Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
11. Quantum Hardware Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
12. Quantum Error Correction 1.
Error, Repetition Code and Shor Code
Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
13. Quantum Error Correction 2.
Stabilizer Formalism
Preparation: Read the relevant sections of the reference book and lecture materials in advance. 80minutes
Review: Go through the lecture content and complete the check test. 80minutes
14. Final Exam and Comments Review the contents in Lectures from 8 to 13. 365minutes
Total. - - 2650minutes
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Quantum Computation and Quantum Information, M. A. Nielsen, and I. L. Chuang, Cambridge University Press.
Quantum Computing -From Basic Algorithms To Quantum Machine Learning-, Yoshiaki Shimada, Ohmsha.
Quantum Computer Systems: Research for Noisy Intermediate-Scale Quantum Computers (Synthesis Lectures on Computer Architecture), Y. Ding and F. T. Chong, Springer.
Prerequisites
Students are expected to have taken ”Differential and Integral Calculus 1”, ”Differential and Integral Calculus 2”, ”Linear Algebra 1”, ”Linear Algebra 2”, ”Introduction to Physics,” and ”Probability and Statistics 1”.
Office hours and How to contact professors for questions
  • During the lunch break on class days or via email.
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic problem-solving skills
Active-learning course
N/A
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable Based on experience in research and development of computer hardware, including quantum computers, at an electronics manufacturer, this course will provide instruction on the structure and mechanisms of quantum computer hardware.
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Mar 14 13:49:58 JST 2026