Universität Wien

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

5.00 ECTS (3.00 SWS), SPL 26 - Physik
Prüfungsimmanente Lehrveranstaltung
VOR-ORT
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 15 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Die Termine sind vor-Ort geplant, wenn es die Covid-Lage zulässt.

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

[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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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.

Mindestanforderungen und Beurteilungsmaßstab

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.

Prüfungsstoff

everything discussed in the lectures

Literatur

will be given in the lectures

Zuordnung im Vorlesungsverzeichnis

M-VAF A 2, M-VAF B

Letzte Änderung: So 17.10.2021 21:28