Quantum Computing 2
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| QNI-QC2 | Z,ZK | 6 | 2P+2C | Czech |
- Course guarantor:
- Aurél Gábor Gábris
- Lecturer:
- Aurél Gábor Gábris, Tomáš Kalvoda, Ivo Petr
- Tutor:
- Aurél Gábor Gábris, Tomáš Kalvoda, Ivo Petr
- Supervisor:
- Department of Applied Mathematics
- Synopsis:
-
Quantum Computing 2 focuses on advanced quantum algorithms and their implementations: the Grover algorithm and its applications, quantum algorithms solving linear algebra problems, HHL for solving systems of linear equations. In the course we also introduce students to variational methods and error correction.
- Requirements:
- Syllabus of lectures:
-
1. Grover's algorithm, oracle algorithms.
2. Quantum counting algorithm and 3SAT problem.
3. Quantum walks.
4. Quantum computing and solving linear algebra problems.
5. HHL algorithm.
6. Hardware for quantum computing, circuit optimization.
7. Decoherence.
8. Introduction to quantum error correction.
9. Introduction to variational methods, Variational quantum eigensolver.
10. Variational quantum linear solver.
11. Quadratic unconstrained binary optimization.
12. (2) Simulation of quantum systems.
- Syllabus of tutorials:
-
1. Grover's algorithm, oracle algorithms.
2. Quantum counting algorithm and 3SAT problem.
3. Quantum walks.
4. Quantum computing and solving linear algebra problems.
5. HHL algorithm.
6. Hardware for quantum computing, circuit optimization.
7. Decoherence.
8. Introduction to quantum error correction.
9. Introduction to variational methods, Variational quantum eigensolver.
10. Variational quantum linear solver.
11. Quadratic unconstrained binary optimization.
12. (2) Simulation of quantum systems.
- Study Objective:
-
Quantum Computing 2 focuses on advanced quantum algorithms and their implementations: the Grover algorithm and its applications, quantum algorithms solving linear algebra problems, HHL for solving systems of linear equations. In the course we also introduce students to variational methods and error correction.
- Study materials:
-
1. Hidary, J. D.: Quantum Computing: An Applied Approach, 2nd edition
Springer 2021
ISBM 3030832732
2. Johnston, E., Harrigan, N., Gimeno-Segovia, M.
Programming Quantum Computers: Essential Algorithms and Code Samples
O'Reilly Media 2019
ISBM 1492039683
3. Nielsen, M. A., Chuang, I. L.: Quantum Computation and Quantum Information: 10th Anniversary Edition
Cambridge University Press 2011
ISBM 9781107002173
- Note:
-
Information about the course and teaching materials can be found at https://courses.fit.cvut.cz/QNI-QC2.
The course can be partially presented in English.
- Teacher's noteAurél Gábor Gábris:
-
Garant lectures 50% of lectures and rehearses.
- Further information:
- https://courses.fit.cvut.cz/QNI-QC2
- Time-table for winter semester 2025/2026:
- Time-table is not available yet
- Time-table for summer semester 2025/2026:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Wed Thu Fri - The course is a part of the following study plans:
-
- Quantum Informatics (compulsory course in the program)
- Mgr. programe Applied informatics (code ANIE) for the phase of study without specialization (elective course)
- Master specialization Embedded systems (elective course)
- Master specialization Business Informatics, 2026 (elective course)
- Master specialization Software Engineering (elective course)
- Master specialization Web Engineering (elective course)
- Master specialization Visual computing and Game design (elective course)