Introduction to quantum informatics

Course guarantor:

Miroslav Virius

Lecturer:

Aleš Wodecki

Tutor:

Aleš Wodecki

Supervisor:

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:

Study Objective:

Study materials:

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:

Time-table for winter semester 2025/2026:

Time-table is not available yet

Time-table for summer semester 2025/2026:

Time-table is not available yet

The course is a part of the following study plans:

• Mathematical Engineering - Mathematical Modelling (elective course)