Quantum Information Transport, Algebra Representations, Orthogonal Polynomials and (Super)Integrable Models

量子信息传输、代数表示、正交多项式和（超）可积模型

• 批准号: RGPIN-2017-06166
• 负责人: Vinet, Luc
• 金额: $ 4.08万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=633101
• 关键词: Quantum; Information; Transport; Algebra; Representations

Theoretical physics attempts to understand nature by offering mathematical models of various phenomena. The validation of those descriptions and the determination of the predictions they entail require a detailed understanding of the dynamics of those systems. This is what is meant by « solving a model » and the better if this can be done exactly. It is therefore important to develop the mathematics, the tools, that will make possible the exact solution of a growing number of relevant dynamical systems and will help in the design of rich and sophisticate physical models.

理论物理试图通过提供各种现象的数学模型来理解自然。验证这些描述和确定它们所需的预测需要对这些系统的动态有详细的了解。这就是“解决一个模型”的意思，如果能精确地完成就更好了。因此，重要的是发展数学，工具，这将使越来越多的相关动力系统的精确解成为可能，并将有助于设计丰富的物理模型。