Universität Wien

250121 VO Quantum Information, Quantum Computing, and Quantum Algorithms (2025W)

6.00 ECTS (4.00 SWS), SPL 25 - Mathematik

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

Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Monday 06.10. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 07.10. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 13.10. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 14.10. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 20.10. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 21.10. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 27.10. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 28.10. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 03.11. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 04.11. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 10.11. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 11.11. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 18.11. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 24.11. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 25.11. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 01.12. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 02.12. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 09.12. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 15.12. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 16.12. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 12.01. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 13.01. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 19.01. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 20.01. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 26.01. 16:45 - 18:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 27.01. 08:00 - 09:30 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Quantum Information Theory is concerned with how we can process information and perform computations in a world which is governed by the laws of quantum mechanics, like the world we live in. The lecture will provide an in-depth introduction to the field of Quantum Information Theory, with a special focus on Quantum Computing and Quantum Algorithms, taught from a mathematical perspective. In particular, no prior knowledge of quantum mechanics or any other physics will be required; solid foundations in linear algebra will be both necessary and sufficient to attend the lecture. The focus of the lecture will be on the underlying concepts and the key mathematical questions of Quantum Information and Computation, but depending on the interest, a birds-eye view on the main challenges and approaches towards building a real quantum computer can be included.

Planned topics include:
* The basic formalism: States, evolution, and measurement
* Mixed states, completely positive maps, and POVM measurements
* Entanglement theory
* Quantum cryptography
* Quantum computation
* Quantum algorithms
* Quantum error correction

Associated to the lecture is a two-hour tutorial/exercise session (course 250122 PS: https://ufind.univie.ac.at/en/course.html?lv=250122&semester=2025W ).

More information on the course can be found on the course website: https://schuch.univie.ac.at/ws25-qi

If you have questions about the lecture, there is a list of frequently asked questions on the lecture's moodle page. Please consult this list first before writing to the lecturers. If you have problems registering for the lecture, please contact the SSC: ssc.mathematik@univie.ac.at

Assessment and permitted materials

Exam at the end of the semester.

Minimum requirements and assessment criteria

Knowledge and understanding of the course material, its underlying concepts, and its interrelation, and the ability to apply the methods taught in the lecture to specific problems.

Examination topics

The exam will cover all topics covered in the course.

Reading list


Association in the course directory

MALV; MAMV; MLOV; ML2; MEL, M-ERG

Last modified: Fr 03.10.2025 17:07