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
To understand the basic notions of quantum computing and basic quantum algorithms
To search and summarize research papers related to the quantum computing

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

	Mini report	Report	Total.
1.	20%		20%
2.	40%		40%
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 textbook 1. chapters 1 and 2	90minutes
1．	Systems and experiments, Quantum states	Review: lecture content	90minutes
2．	Principles of quantum mechanics	Preparation: Read textbook 1. chapter 3	90minutes
2．	Principles of quantum mechanics	Review: lecture content	90minutes
3．	Time and change	Preparation: Read textbook 1. chapter 4	90minutes
3．	Time and change	Review: lecture content	90minutes
4．	Uncertainty and time dependence	Preparation: Read textbook 1. chapter 5	90minutes
4．	Uncertainty and time dependence	Review: lecture content	90minutes
5．	Entanglement 1.	Preparation: Read Chapter 6 in textbook 1.	90minutes
5．	Entanglement 1.	Review: lecture content	90minutes
6．	Entanglement 2.	Preparation: Read textbook 1. chapter 7	90minutes
6．	Entanglement 2.	Review: lecture content	90minutes
7．	Basics of Quantum Computers I.	Preparation: Read textbook 2. Chapter 2	90minutes
7．	Basics of Quantum Computers I.	Review: lecture content	90minutes
8．	Basics of Quantum Computers II.	Preparation: Read textbook 2. Chapter 2	90minutes
8．	Basics of Quantum Computers II.	Review: lecture content	90minutes
9．	Basic Packages of Quantum Computations	Preparation: Read Textbook 2. Chapter 3	90minutes
9．	Basic Packages of Quantum Computations	Review: lecture content	90minutes
10．	Quantum Algorithm I.	Preparation: Read Textbook 2. Chapter 4	90minutes
10．	Quantum Algorithm I.	Review: lecture content	90minutes
11．	Quantum Algorithm II.	Preparation: Read Textbook 2. Chapter 4	90minutes
11．	Quantum Algorithm II.	Review: lecture content	90minutes
12．	NISQ Algorithm I.	Preparation: Read Textbook 2. Chapter 5	90minutes
12．	NISQ Algorithm I.	Review: lecture content	90minutes
13．	NISQ Algorithm II.	Preparation: Read Textbook 2. Chapter 5	90minutes
13．	NISQ Algorithm II.	Review: lecture content	90minutes
14．	Error Correction in Quantum Computers	Preparation: Read Textbook 2. Chapter 6	90minutes
		Review: lecture content	90minutes
		Write a report	300minutes
Total.	-	-	2820minutes

Evaluation method and criteria

The evaluation will be based on mini reports and a report.
Out of a maximum of 100 points, 60% will be given for the mini reports and 40% for the report.
A score of 60 or higher will be given if the student can summarize (1) the main points on basic principles of quantum mechanics and quantum computers, and (2) the main points on basic principles of quantum algorithms, as well as write (3) the SF Prototyping relevantly including the quantum computing, and (4) a valid and logical report on the research in the field of quantum computing.

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

Monday, lunch time

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 : Tue Aug 27 13:57:30 JST 2024