Universität Wien
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260096 VU Quantum Information Theory -Quantum Computing & Machine Learning (2021W)

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

The lectures are planned face-to-face if the Covid situation allows for it.

  • Monday 11.10. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 18.10. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 25.10. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 08.11. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 15.11. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 22.11. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 29.11. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 06.12. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 13.12. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 10.01. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 17.01. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien
  • Monday 24.01. 08:15 - 10:30 Erwin-Schrödinger-Hörsaal, Boltzmanngasse 5, 5. Stk., 1090 Wien

Information

Aims, contents and method of the course

[This event is planned to be face-to-face and presence is mandatory.]

This event gives an introduction to quantum information theory with a focus on quantum computing and quantum machine learning mainly from the theoretical point of view but experimental possibilities will be also discussed. It builds on the knowledge of a basic course on quantum mechanics and introduces to qubits, quantum gates, quantum algorithms. Machine learning knowledge is not needed. Method: lectures, problem solving problems within the class and for take-away. Depending on the wish of the students it will be either in English or German.

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 short home-works. No absence without announcement beforehand.

Minimum requirements and assessment criteria

basics in quantum mechanics; average between regular (mandatory) attendance*, activity (33%) short exams (33%) and home-works (33%).
*Note that due to the pandemic nobody who is ill or feels ill should attend. These absences can therefore be compensated by written works.

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: Su 17.10.2021 21:28