Course: Quantum Theory of Information

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Course title Quantum Theory of Information
Course code OPT/KTI
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 4
Language of instruction Czech, English
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Fiurášek Jaromír, prof. Mgr. Ph.D.
Course content
1. Physical aspects of information processing, quantum theory 2. Quantum states, quantum operations, quantum measurements, quantum entanglement 3. Quantum computer, quantum logic gates 4. Quantum Fourier transform, Shor's algorithm, quantum search algorithms 5. Physical implementations of quantum computers 6. Entropy in quantum information theory, quantum data compression 7. Quantum communication, quantum channels, quantum error correction 8. Quantum cryptography: principles and security proofs 9. Quantum cryptography: implementations 10. Quantum teleportation, entanglement swapping 11. Quantum communication networks, quantum repeaters

Learning activities and teaching methods
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming)
  • Homework for Teaching - 50 hours per semester
  • Preparation for the Exam - 30 hours per semester
  • Attendace - 39 hours per semester
Learning outcomes
Introductory course in quantum information theory, quantum computing, and quantum communication. Students will get basic knowledge of this discipline and will be able to independently solve selected types of problems in this area.
Knowledge of basic principles of quantum information theory, knowledge of basic quantum communication protocols, understanding of the working principles of quantum computers and quantum algorithms, ability to apply the acquired knowledge in problem solving.
Prerequisites
Knowledge of mathematical analysis, algebra, and quantum physics at the level of bachelor study of physics.

Assessment methods and criteria
Oral exam

Course credit prior to examination is awarded for ative participation at the exercises and for successful solving of several homework sets. Oral exam covering the the taught subject matter as specified in the Content section.
Recommended literature
  • Beth, Thomas Leuchs, Gerd. (2005). Quantum information processing. Weinheim.
  • Bruß, Dagmar, Leuchs, Gerd. (2007). Lectures on quantum information. Weinheim.
  • Nielsen M. A., Chuang, I. L. (2004). Quantum Computation and Quantum Information. Cambridge University Press.
  • Peres, A. (1995). Quantum Theory: Concepts and Methods. Kluwer, Dordrecht.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): General Physics and Mathematical Physics (2019) Category: Physics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Software Development (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Optics and Optoelectronics (2021) Category: Physics courses 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer