Lecture "Quantum Information" (winter term 2016/17)

Lecturer: Norbert Schuch


Overview

Quantum Information is concerned with the study of quantum mechanics from the point of view of information theory, as well as with the use of quantum mechanical systems for the purpose of information processing and computation. On the one hand, this includes quantum information theory, with topics such as quantum teleportation, the transmission of information through quantum channels, quantum cryptography, and the quantification of quantum entanglement as a resource for the aforementioned tasks. On the other hand, it involves quantum computation, i.e., computation based on the laws of quantum mechanics, covering topics such as quantum algorithms, quantum error correction, and the physical realization of quantum computers.


This lecture will provide a comprehensive introduction to the field of Quantum Information. Planned topics include

  • States, evolution, and measurement
  • Quantum entanglement
  • Quantum channels
  • Quantum cryptography
  • Quantum computation and quantum algorithms
  • Quantum error correction
  • Implementations of quantum information processing

Prerequisites

Solid knowledge of Linear Algebra is essential for this lecture. Knowledge of quantum mechanics is useful, but not necessary. (However, please let me know in advance if you have no prior knowledge of quantum mechanics.)

Material

Lecture notes

Exercise sheets


Literature

Main texts

Other lecture notes: Mark Wilde, Reinhard Werner

Further reading:


Organisatorial issues

The lecture takes place Friday 14:00-16:00 (on 13.1. and 27.1. from 14:00-17:00) in room PH2271. In compensation for the lecture being 120 min rather than 90 min, some Fridays will be off (this will be announced during the lecture and on this website).

Tutorials for the lecture are offered on a voluntary basis. The tutorials take place every second Friday after the lecture, starting Nov. 4th, and will be given by Mohsin Iqbal. Exercise sheets will be posted the Monday before the tutorial.

See also the TUM Online entry for this lecture.