Universität Wien

260096 VU Quantum Information Theory -Quantum Computing & Machine Learning (2024W)

5.00 ECTS (3.00 SWS), SPL 26 - Physik
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 07.10. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 14.10. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 21.10. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 28.10. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 04.11. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 11.11. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 18.11. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 25.11. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 02.12. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 09.12. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 16.12. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 13.01. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 20.01. 08:30 - 11:00 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien

Information

Aims, contents and method of the course

[This course is planned as a face-to-face course and attendance is mandatory.]

This course gives an introduction to quantum information theory with a focus on quantum computing and machine learning with quanta, mainly from a theoretical point of view, but experimental possibilities will also be discussed. The course will also provide practical exercises, e.g. a set of quantum gates will be provided with which we can build and test basic quantum algorithms. The implementation on current and future quantum computers will be discussed.

The course builds on the knowledge of a basic course on quantum mechanics and introduces qubits, quantum gates, circuits, measurement problems, quantum algorithms, artificial neural networks, simple machine learning algorithms (e.g. PCA, k-means), error correction methods and basics of decoherence. (Classical) machine learning is not required, an introduction will be given before the quantum versions are discussed.

Method: Lectures, in-class problem solving, hands-on and take-home problems.

The course will be held either in English or German, depending on student preference.

Assessment and permitted materials

This event is an interactive one, therefore the final grade is an average of active and regular participation, short exams within the event (announced in due time) and home-works/reports. No absence without announcement beforehand (per email).

Minimum requirements and assessment criteria

basics in quantum mechanics; average between regular (mandatory) attendance*, activity (25%), short exams (25%) and home-works/reports (50%).
*No-one who is ill or feels ill is allowed to attend the course. These absences must be announced by e-mail before the course and can be compensated by written work.

Examination topics

everything discussed in the lectures

Reading list

will be given in the lectures

Association in the course directory

M-VAF A 2, M-VAF B

Last modified: Fr 04.10.2024 12:06