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

6.00 ECTS (4.00 SWS), SPL 25 - Mathematik

Moodle

An/Abmeldung

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Details

Sprache: Englisch

Prüfungstermine

Lehrende

Norbert Schuch

Termine (iCal) - nächster Termin ist mit N markiert

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

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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).

Art der Leistungskontrolle und erlaubte Hilfsmittel

Oral exam at the end of the semester.

Mindestanforderungen und Beurteilungsmaßstab

Prüfungsstoff

Literatur

Zuordnung im Vorlesungsverzeichnis

MLOV, MALV, MAMV

Letzte Änderung: Fr 12.05.2023 00:21