2025 (Current Year) Faculty Courses School of Engineering Department of Information and Communications Engineering Graduate major in Information and Communications Engineering
Quantum Information Processing
- Academic unit or major
- Graduate major in Information and Communications Engineering
- Instructor(s)
- Ryutaroh Matsumoto
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - Intensive
- Class
- -
- Course Code
- ICT.C601
- Number of credits
- 200
- Course offered
- 2025
- Offered quarter
- 2Q
- Syllabus updated
- Mar 19, 2025
- Language
- English
Syllabus
Course overview and goals
Applications of quantum mechanics to communication and computation are explained. Topics will include quantum teleportation, quantum cryptography, and quantum algorithms. Prerequisites are linear algebra and probability theory only, *BUT THEY ARE REALLY REQUIRED*. The instructor will explain mathematics and physics used in the explanation of the above topics.
Course description and aims
A student should be able to mathematically verify the correctness of various methods in quantum information processing.
Keywords
quantum cryptography, quantum computer, quantum information
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
After each class, exercises are given. Their answers should be submitted before the next class. Grade evaluation is based on students' answers to exercises.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | BB84 quantum key distribution protocol | Exercise |
| Class 2 | Mathematical model of quantum systems | Exercise |
| Class 3 | Tensor product | Exercise |
| Class 4 | Quantum teleportation | Exercise |
| Class 5 | Superdense coding | Exercise |
| Class 6 | Density matrix | Exercise |
| Class 7 | Secrecy of superdense coding | Exercise |
| Class 8 | Quantum algorithm for factoring (1) | Exercise |
| Class 9 | Quantum algorithm for factoring (2) | Exercise |
| Class 10 | Quantum algorithm for factoring (3) | Exercise |
| Class 11 | Quantum algorithm for factoring (4) | Exercise |
| Class 12 | Probabilistic interpretation of quantum theory | Exercise |
| Class 13 | Bell's experiment and local realism | Exercise |
| Class 14 | Sketch of mathematical proof for the security of quantum cryptography | Exercise |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
None
Reference books, course materials, etc.
Quantum Computation and Quantum Information by M. A. Nielsen and I. L. Chuang (ISBN 0521635039)
Evaluation methods and criteria
After each lecture, exercises are given. Their answers should be submitted before the next lecture. Grade evaluation is based on student's answers to exercises.
Related courses
- LAS.M106 ： Linear Algebra II
- ZUS.M201 ： Probability Theory and Statistics
- ICT.C205 ： Communication Theory (ICT)
Prerequisites
STUDENTS MUST UNDERSTAND LINEAR ALGEBRA AND PROBABILITY BEFORE TAKING THIS COUSE!!! Please bring your favorite textbook on linear algebra.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
ryutaroh[at]ict.e.titech.ac.jp
Office hours
Please contact the lecturer by T2Schola.
Other
STUDENTS MUST UNDERSTAND LINEAR ALGEBRA AND PROBABILITY BEFORE TAKING THIS COUSE!!! Please bring your favorite textbook on linear algebra. The date and time of intensive lectures will be determined on June or July. You can register yourself to this course and cancel it later on the web if you have possibility to attend this course. If you are not eligible to register yourself to the course but want to attend the lecture, please contact the lecturer Matsumoto.