Introduction to quantum informatics

Course guarantor:

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Department of Software Engineering

Synopsis:

Quantum information has been on the rise for years. In this course, we explore the basics of quantum information theory with a strong emphasis on quantum computing. We discuss some of the most important quantum principles that lead to the so called quantum advantage and discuss many important quantum algorithms with the requisite amount of theoretical underpinning.

Requirements:

Syllabus of lectures:

1. Introduction to quantum physics

2. Introduction to theoretical computer science

3. Basic Quantum Algorithms (Grover, DeutschJozsa, Phase Estimation, etc.)

4. Adiabatic Quantum Computing and Optimization

5. Applications of quantum Computing (finance, graph theory, quantum security)

Syllabus of tutorials:

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Recommended literature:

[1] Mermin, N. David. „From Cbits to Qbits: Teaching computer scientists quantum mechanics.“ American Journal of Physics 71.1 (2003): 23-30.

[2] Martyn, J. M., Rossi, Z. M., Tan, A. K., & Chuang, I. L. (2021). Grand unification of quantum algorithms. PRX quantum, 2(4), 040203.

[3] Kasirajan, Venkateswaran. Fundamentals of quantum computing. Springer International Publishing, 2021.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans:

• Aplikace informatiky v přírodních vědách (elective course)
• Aplikované matematicko-stochastické metody (elective course)
• Matematické inženýrství - Matematická informatika (elective course)
• Matematické inženýrství - Matematické modelování (elective course)