Course title
6M0039001
Quantum Information Science-Introduction

KIMURA Gen Click to show questionnaire result at 2019
Course content
In this course, we will provide an introductory lecture on the basics of probability theory, quantum mechanics, and quantum information science.

Quantum information science is a new field of information science that utilizes the fundamental laws of quantum mechanics in the microscopic world, such as atoms. When quantum properties are applied to information processing, it becomes possible to quickly break the mainstream RSA encryption used in modern cryptography (quantum computers), create unbreakable encryption (quantum key distribution), and even teleport objects (state) remotely (quantum teleportation).

The course format is a flipped classroom, where students will watch pre-recorded videos before the online lecture to ask questions and engage in discussions. There will be no exams, but students will have an assignment to present their research topic with some relevance to the course.
Purpose of class
In quantum mechanics, we use new way of thinking, concepts and decriptions of physics different from those used in classical physics.
One of the main purposes of this course is to study them as well as the applications of quantum information science, so that students can easily tackle the paradigm shift of information technology using quantum mechanics.
Goals and objectives
  1. To understand the way of thinking and computation of quantum mechanics
  2. To know the weirdness of quantum mechanics
  3. To apply quantum properties to information processings
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Final Report Reports Task Total.
1. 13% 10% 11% 34%
2. 12% 10% 11% 33%
3. 12% 10% 11% 33%
Total. 37% 30% 33% -
Language
Japanese(English accepted)
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. What is quantum mechanics and quantum information science To investigate quantum mechanics and quantum information science 190minutes
2. Quantum mechanics as a probabilistic theory Review probability theory 190minutes
3. Hilbert space and linear operator Review Linear Algebra and Linear operator (matrix) 190minutes
4. Born's Rule Study a state, measurement in quantum mechanics 190minutes
5. Schroedinger equation Study a time evolution in quantum system 190minutes
6. Composite quantum system Study tensor product space 190minutes
7. Quantum cryptography I Study ONE TIME PAD cryptography 190minutes
8. Quantum cryptography II Review BB84 protocol 190minutes
9. Quantum teleportation Think about what it means to teleport material. 190minutes
10. Quantum Computation I Study algorithm in computation 190minutes
11. Quantum Computation II --- Deutsch–Jozsa algorithm Review Schroedinger equation 190minutes
12. Quantum Computation III --- Verstraete Vazirani algorithm Review DJ algorithm 190minutes
13. Foundations of Quantum Mechanics I -- Bell Theorem Think about a reality in physics 190minutes
14. Foundations of Quantum Mechanics II -- Kochen Specker Theorem Think about a reality in physics 190minutes
Total. - - 2660minutes
Evaluation method and criteria
Evaluations are based on reports and the following task:

Task: Each student is required, at least once, to have a presentation based on the pre-recored lecture (the flip teaching).
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in outside of the class (ScombZ, mail, etc.)
Textbooks and reference materials
Explained in the lecture.
Prerequisites
Elementary probability theory and linear algebra
Office hours and How to contact professors for questions
  • Anytime, but needs an appointment
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic problem-solving skills
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A N/A
Education related SDGs:the Sustainable Development Goals
  • 4.QUALITY EDUCATION
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Jun 29 04:35:31 JST 2024