| Statistical structure of Quantum Theory |
|
IntroductionQuantum mechanics has existed for about 100 years, but especially during the last 10 years subjects such as quantum information theory, quantum computing and quantum cryptology have had a lot of attention. This has made the statistical aspects of quantum theory more relevant than ever before. The purpose of this course is to give a careful introduction to the mathematical/statistical foundation of quantum theory in such a way that some of the more remarkable new results can be described in a mathematically correct way. To avoid technical complications many of the results will only be proved in their finite dimensional versions. back to topSubjects
PrerequestsThe course is intended for graduate students in mathematics, physics, statistics and computer science. Elementary knowledge about probability and Hilbert spaces is necessary corresponding to the courses 2SS and 2AN. No knowledge about physics is assumed. back to topTime and placeLectures Tuesdays and Thursdays 13.15-15.00 in Aud. 9 at H. C. Ørstedsinstituttet. First lecture 4/2. Last lecture 22/5. back to topNotesNotes are produced during the course. Latest version can be found here as PostScript. back to topSyllabusWeek 6-9. Simple quantum systems 4/2 Introduction and definition of a state. Convexity. 6/2 Convexity. Separation Theorem and Caratheodory's Theorem. 11/2 Group representations on convex sets. Spin. 13/2 Matrix algebras and spectral theory. 18/2 Matrix algebras and spectral theory. The group algebra. 20/2 States and measurement in matrix algebras. 25/2 Group representations on Hilbert spaces. Stone's Theorem. 27/2 Covariant measurements, estimation and Cramér-Rao inequality. Week 10-14. Composed quantum systems Week 15-21. Quantum computing, information and cryptology back to topExercisesTo get point one should do the exercises. The format is PostScript. 11/2 back to topLinksNo links yet. |
| Last modified: 5/2 2003 by Peter Harremoës - moes@math.ku.dk |