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2017

Analysis in Quantum Information Theory

Quantum Information Theory (QIT) is a rapidly developing field whose significance ranges from fundamental issues in the foundations of quantum theory to new state-of-the-art methods for secure transmission of information.

Mon. 04 Sep, 2017 → Fri. 15 Dec, 2017

Combinatorics and interactions

The main goal of this trimester is to give to researchers in combinatorics the opportunity to meet and work together. More precisely, we aim at gathering people from the three following wide themes:

Mon. 09 Jan, 2017 → Fri. 31 Mar, 2017

The scope of problems accessible for a numerical treatment has been constantly broadened over the last fifty years. In particular, there has been a lot of research activity in the recent decades aimed at the problems with multi-scale and multi-physics features. The dedicated numerical methods (model reduction, micro-macro models and model coupling, non standard FEM) stem from diverse techniques and ideas such as homogenization, asymptotic analysis, statistical physics, domain decomposition methods, etc.

This research school intends to present to the participants (mainly Ph.D. students) applications of commutative and non-commutative algebra to coding theory. Thus we will have courses and talks on the following topics (but not limited to them):

Recent developments in non-commutative algebra include parallel theories of graph C*-algebras and Leavitt path algebras. In this research school, we mainly focus on theories of Leavitt path algebras and their connections with other areas of mathematics.

This research school will introduce the participants to some basics of algebraic geometry with an emphasis on computational aspects, such as Groebner bases and combinatorial aspects, such as toric varieties and tropical geometry. We will also learn how to use the freely available software Macaulay2 for studying algebraic varieties. The lecturers for this school are all active in these areas and collectively have deep experience both as researchers and educators through the supervision of students ; Ph.D. and postdoctoral, as well as the organization of and lecturing in short courses.

La liberté, dans sa acception probabiliste, est une forme d’indépendance adaptée à des variables aléatoires non commutatives. Elle a été introduite par D. V. Voiculescu dans le but de résoudre le problème de Kadison sur l’isomorphisme entre les facteurs de von Neumann du groupe libre. La théorie des probabilités libres qui en est issue présente beaucoup d’analogies avec les probabilités classiques tout en ayant des outils et des champs d’application distincts.