Topics on Quantum Computer Science and Engineering

Course title

1M992100

Course content

A quantum computer is a computer that wisely uses the laws of nature known as quantum mechanics. The natural laws of quantum mechanics are far different from the view of nature that we have experienced in our daily lives. However, the practical use and applications of quantum computers based on these laws is rapidly approaching through many basic researches, and the development of "quantum human resources" for the quantum information society is an urgent issue.
This lecture will offer an overview of quantum mechanics, which is the principle of quantum computers, and cover the basics of quantum computers using quantum mechanics, as well as the latest research in the field of quantum computers, aiming at the development of "quantum human resources".

Purpose of class

The course starts with the basic principles of quantum mechanics, which is the foundation of the field of quantum information engineering, and then moves on to quantum computers that make wise use of these principles.

Goals and objectives

To understand the basic notions of quantum mechanics and quantum computers.
To envisage applications of quantum computers in relation to your own research field and explain their characteristics.
To search and summarize research papers on the field of quantum computing and logically summarize the findings.

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Mini report	Long report	Total.
1.	30%		30%
2.	30%		30%
3.		40%	40%
Total.	60%	40%	-

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1．	Systems and experiments, Quantum states	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
1．	Systems and experiments, Quantum states	Review: Go through the lecture content and solve excercises.	90minutes
2．	Principles of quantum mechanics	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
2．	Principles of quantum mechanics	Review: Go through the lecture content and solve excercises.	90minutes
3．	Time and change	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
3．	Time and change	Review: Go through the lecture content and solve excercises.	90minutes
4．	Uncertainty and time dependence	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
4．	Uncertainty and time dependence	Review: Go through the lecture content and solve excercises.	90minutes
5．	Entanglement 1.	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
5．	Entanglement 1.	Review: Go through the lecture content and solve excercises.	90minutes
6．	Entanglement 2.	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
6．	Entanglement 2.	Review: Go through the lecture content and solve excercises.	90minutes
7．	Basics of Quantum Computers I.	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
		Review: Go through the lecture content and solve excercises.	90minutes
		Write a mini report
8．	Basics of Quantum Computers II.	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
8．	Basics of Quantum Computers II.	Review: Go through the lecture content and solve excercises.	90minutes
9．	Basic Packages of Quantum Computations	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
9．	Basic Packages of Quantum Computations	Review: Go through the lecture content and solve excercises.	90minutes
10．	Quantum Algorithm I.	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
10．	Quantum Algorithm I.	Review: Go through the lecture content and solve excercises.	90minutes
11．	Quantum Algorithm II.	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
11．	Quantum Algorithm II.	Review: Go through the lecture content and solve excercises.	90minutes
12．	NISQ Algorithm I.	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
		Review: Go through the lecture content and solve excercises.	90minutes
		Write a long report
13．	NISQ Algorithm II.	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
		Review: Go through the lecture content and solve excercises.	90minutes
		Write a mini report
14．	Error Correction in Quantum Computers	Preparation: Read the relevant sections of the reference book and lecture materials in advance.	90minutes
		Review: Go through the lecture content and solve excercises.	90minutes
		Prepare the report.	300minutes
Total.	-	-	2820minutes

Evaluation method and criteria

Grading: Two mini reports (60%) and a long report (40%). Over 60% in total is acceptable.
If your can (1) understand and explain the fundamental principles of quantum mechanics and quantum computing, (2) propose creative applications of quantum computers in relation to your research field through SF prototyping, and (3) research literature on the field of quantum computing and logically summarize the findings, you will be able to achieve a total score of 60% or higher.

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
Feedback in the class

Textbooks and reference materials

Textbooks
1. Quantum Mechanics The Theoretical Minimum, L. Susskind, and A. Friedman, Penguin books
2. Quantum Computing -From Basic Algorithms To Quantum Machine Learning-, Yoshiaki Shimada, Ohmsha

Prerequisites

Familiarity with basic linear algebra.

Office hours and How to contact professors for questions

During the lunch break on lecture 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
N/A	該当しない

Education related SDGs:the Sustainable Development Goals

9.INDUSTRY, INNOVATION AND INFRASTRUCTURE

Last modified : Fri Feb 28 04:09:51 JST 2025