Offered for PhD programs in Information Science and Technologies
and Pure and Computational Mathematics

Course Description:

The Course aims to serve as an introduction to a selection of topics of interest in quantum information theory, with a focus on the role of uncertainty and noise. A mathematically consistent approach will be developed, in order to tackle problems of information encoding, communication and error-correction for finite-dimensional systems.

The main reference is M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum information (Cambridge, 2000). Other relevant references, on-line notes and research papers will be provided during the course.

SCHEDULE:

Wednesday & Friday, starting February 20- 10:30-12:30
Room: Sala Riunioni (meeting room)  DEI/G III Floor

COURSE REQUIREMENTS:

Standard linear algebra and probability theory.

EXAMINATION AND GRADING:

Homework and final project.

TENTATIVE DATE FOR FINAL PRESENTATIONS:

TBA