Hiroshima University Syllabus

Back to syllabus main page
Academic Year 2024Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Chemistry Program
Lecture Code WSD27000 Subject Classification Specialized Education
Subject Name 化学特別講義A(量子コンピュータによる量子化学計算の現状と展望)
Subject Name
Subject Name in
Special Lectures in Chemistry A
イベ ヨウヘイ,アベ ミノリ
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  2Term
Days, Periods, and Classrooms (2T) Inte
Lesson Style Lecture Lesson Style
(More Details)
Lecture-centered, exercise-centered 
Credits 1.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 6 : Graduate Advanced
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 07 : Chemistry
Eligible Students
Keywords Quantum chemistry, Computational chemistry, Quantum computing, Quantum algorithms 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
(Applicable only to targeted subjects for undergraduate students)
Class Objectives
/Class Outline
Quantum computers are devices that perform calculations based on quantum mechanics and are considered promising for applications in the field of materials science. In this lecture, we will implement several quantum algorithms and use quantum computers on the cloud to learn how quantum chemical calculations are performed, and how issues such as "noise" faced by quantum computers affect the calculation results. 
Class Schedule Basics 1: Introduction to Quantum Computers
Basics 2: Quantum Computer Hardwares and Their Operating Principles
Basics 3: Usage of Quantum Computing Library QURI Parts
Real Device 1: Quantum Supremacy
Real Device 2: Performance Indicators and Quantum Volume of Quantum Computers
Real Device 3: Noise and Error Mitigation in Quantum Computers
Application 1: Quantum Computers and Quantum Chemistry Calculations: Algorithm Implementation using QURI Parts and Exercises Using QURI
Application 2: Quantum Chemical Calculations Using Real Devices (VQE) and The Cutting Edge of Algorithm Development (QSCI) 
Quantum Native Dojo: https://dojo.qulacs.org/
Satoyuki Tsukano, "量子コンピュータの頭の中――計算しながら理解する量子アルゴリズムの世界," published by Gijutsu-Hyohron Co., Ltd. (2023)
Introduction to Python Programming: https://utokyo-ipp.github.io/ 
PC or AV used in
(More Details)
Learning techniques to be incorporated  
Suggestions on
Preparation and
Understanding the basic syntax of Python and how to use Google Colaboratory beforehand will make the learning process smoother. For instance, sections 1-0 and 1-1 of the above "Introduction to Python Programming" would be useful references.

While quantum computing will be explained during the lectures, reading "量子コンピュータの頭の中――計算しながら理解する量子アルゴリズムの世界" beforehand will enhance your understanding further. 
Grading Method Evaluation by submitting a report 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
Back to syllabus main page