Lecturers: Leo di Carlo and Ronald Hanson
Expected prior knowledge: Quantum mechanics, including Dirac notation. Matrix algebra.
Time and place: 10:45 - 12:30 hrs, F104 (March 20 and 27 in F206)
Dates: every Thursday from February 10 through June 14. NB: no classes on April 3, 10 and 17 and May 29.
Study points: 6 ECTS points / 5 GSC
Description:
Quantum Information Processing aims at harnessing quantum physics to conceive and build devices that could dramatically exceed the capabilities of today's "classical" computation and communication systems. In this course, we will introduce the basic concepts of this rapidly developing field.
Objectives:
- To understand the operation, potential, and limitations of the main theoretical results (algorithms, error correction, communication)
- To be able to use the formalism of quantum information (unitary matrices, Hermitian matrices, state vectors, density matrices, etc)
- To obtain an overview of the experimental state of the art, and an appreciation of future prospects.
- Quantum states (pure, mixed)
- Quantum gates and circuits
- Quantum algorithms
- Quantum measurement
- Decoherence
- Quantum error correction
- Quantum communication and cryptography
- Implementations and experiments
Format:
Weekly class meeting with a one-hour lecture on theory and formalism, and a 45 min presentation/discussion of a significant experimental paper. The paper presentations will be given by the students (possibly in groups of two or three). Everyone is expected to attend the lectures, read the weekly paper and make a short weekly homework.
Evaluation:
Literature and Study Materials
M.A. Nielsen and I.L. Chuang, “Quantum Computation and Quantum Information”, (Cambridge University Press, 2000).
About 10 scientific articles on important experiments.
Registration:
Registration is now closed. The information for the 2016 edition of this course will be available here in the autumn of 2015.