Module Handbook

  • Dynamischer Default-Fachbereich geändert auf MAT

Course MAT-59-14-K-6

Mathematics of Quantum Computing (2V+1U, 4.5 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes (V/U) 4.5 CP 93 h
2 V Lecture 28 h
1 U Exercise class/tutorial (in small groups) 14 h
(2V+1U) 4.5 CP 42 h 93 h

Basedata

SWS 2V+1U
CP, Effort 4.5 CP = 135 h
Position of the semester 1 Sem. irreg.
Level [6] Master (General)
Language [EN] English
Lecturers
+ further Lecturers of the department Mathematics
Area of study [MAT-OPT] Optimisation
Livecycle-State [NORM] Active

Contents

  • Qubits,
  • quantum gates and quantum circuits,
  • early algorithms (e.g. Deutsch-Jozsa and Bernstein-Vazirani),
  • exact algorithms (e.g. Simon's algorithm, Fourier Transformation, Shors method, Grover's Search, HHL),
  • hybrid heuristic methods (e.g. VQE and QAOA),
  • insight into error rates, error correction and complexity.

Literature

will be announced in the lecture.

Materials

Exercise material will be provided.

Registration

Registration for the exercise classes via the online administration system URM (https://urm.mathematik.uni-kl.de).

Requirements for attendance (informal)

Good knowledge of linear algebra and practical mathematics, e.g. from the courses [MAT-14-11-K-3] Introduction to Numerical Methods or [MAT-14-13-K-3] Linear and Network Programming, and basic knowledge of Hilbert spaces (e.g. from the course [MAT-12-23-K-3]). Knowledge of Physics is not required.

Modules:

Requirements for attendance (formal)

None

References to Course [MAT-59-14-K-6]

Module Name Context
[MAT-59-14-M-6] Mathematics of Quantum Computing P: Obligatory 2V+1U, 4.5 LP
Course-Pool Name
[MAT-50-2V-KPOOL-4] Elective Courses Optimisation and Stochastics (2V, B.Sc.)
[MAT-70-2V-KPOOL-4] Elective Courses Analysis and Stochastics (2V, B.Sc.)
[MAT-80-2V-KPOOL-4] Elective Courses Modelling and Scientific Computing (2V, B.Sc.)