| Unit name | Quantum Information Theory |
|---|---|
| Unit code | MATHM5610 |
| Credit points | 10 |
| Level of study | M/7 |
| Teaching block(s) |
Teaching Block 1A (weeks 1 - 6) |
| Unit director | Professor. Linden |
| Open unit status | Not open |
| Pre-requisites |
A-Level Mathematics and one of: First year core units (MATH11006 Analysis 1, MATH 11007 Calculus 1, MATH 11005 Linear Algebra & Geometry), Introduction to Software Engineering (COMS 12100) or 1st year Physics units. |
| Co-requisites |
None |
| School/department | School of Mathematics |
| Faculty | Faculty of Science |
Unit aims
The course aims to give a self-contained introduction to quantum information theory accessible to students with backgrounds in mathematics, physics or computer science. Additionally, in conjunction with other units, it should provide suitably able and inclined students with the necessary background for further study and research at the postgraduate level.
General Description of the Unit
In the past fifteen years the new subject of quantum information theory has emerged which both offers fundamentally new methods of processing information and also suggests deep links between the well-established disciplines of quantum theory and information theory and computer science. The unit aims to give a self-contained introduction to quantum information theory accessible to students with backgrounds in mathematics and physics; it is also suitable for mathematically inclined students from computer science. The course will begin with a brief overview of the relevant background from quantum mechanics and information theory. The main theme of the course, quantum information and entanglement, then follows. The subject will be illustrated by some of the remarkable recent ideas including quantum teleportation and quantum computation.
Relation to Other Units
The unit aims to be self-contained: it does not require knowledge of any particular course in previous years, nor is it a pre-requisite for other courses.
Further information is available on the School of Mathematics website: http://www.maths.bris.ac.uk/study/undergrad/
Learning Objectives
At the end of the unit the student should:
Transferable Skills
The ability to assimilate and synthesize material from a wide variety of areas of science.
Lectures, problem sheets.
100% Examination.
Raw scores on the examinations will be determined according to the marking scheme written on the examination paper. The marking scheme, indicating the maximum score per question, is a guide to the relative weighting of the questions. Raw scores are moderated as described in the Undergraduate Handbook.
