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250120 VO Quantum Information, Quantum Computing, and Quantum Algorithms (2020W)

6.00 ECTS (4.00 SWS), SPL 25 - Mathematik

Registration/Deregistration

Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

The course will be taught online via zoom. A link can be found on moodle.

Monday 05.10. 13:30 - 15:00 Digital
Tuesday 06.10. 11:00 - 12:30 Digital
Monday 12.10. 13:30 - 15:00 Digital
Tuesday 13.10. 11:00 - 12:30 Digital
Monday 19.10. 13:30 - 15:00 Digital
Tuesday 20.10. 11:00 - 12:30 Digital
Tuesday 27.10. 11:00 - 12:30 Digital
Tuesday 03.11. 11:00 - 12:30 Digital
Monday 09.11. 13:30 - 15:00 Digital
Tuesday 10.11. 11:00 - 12:30 Digital
Monday 16.11. 13:30 - 15:00 Digital
Tuesday 17.11. 11:00 - 12:30 Digital
Monday 23.11. 13:30 - 15:00 Digital
Tuesday 24.11. 11:00 - 12:30 Digital
Monday 30.11. 13:30 - 15:00 Digital
Tuesday 01.12. 11:00 - 12:30 Digital
Monday 07.12. 13:30 - 15:00 Digital
Monday 14.12. 13:30 - 15:00 Digital
Tuesday 15.12. 11:00 - 12:30 Digital
Monday 11.01. 13:30 - 15:00 Digital
Tuesday 12.01. 11:00 - 12:30 Digital
Monday 18.01. 13:30 - 15:00 Digital
Tuesday 19.01. 11:00 - 12:30 Digital
Monday 25.01. 13:30 - 15:00 Digital
Tuesday 26.01. 11:00 - 12:30 Digital

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
* Quantum Shannon theory
* Quantum complexity theory
* Topological quantum computing

Associated to the lecture is a two-hour tutorial/exercise session (course 250122). ---

Assessment and permitted materials

Oral exam at the end of the semester.

Minimum requirements and assessment criteria

Examination topics

Reading list


Association in the course directory

MLOV, MALV, MAMV

Last modified: Mo 26.04.2021 09:08