Suppr超能文献

经典与量子概率面临的新挑战。

New Challenges for Classical and Quantum Probability.

作者信息

Accardi Luigi

机构信息

Centro Vito Volterra, University Roma Tor Vergata, 00133 Roma, Italy.

出版信息

Entropy (Basel). 2022 Oct 21;24(10):1502. doi: 10.3390/e24101502.

Abstract

The discovery that any classical random variable with all moments gives rise to a full quantum theory (that in the Gaussian and Poisson cases coincides with the usual one) implies that a quantum-type formalism will enter into practically all applications of classical probability and statistics. The new challenge consists in finding the classical interpretation, for different types of classical contexts, of typical quantum notions such as entanglement, normal order, equilibrium states, etc. As an example, every classical symmetric random variable has a canonically associated conjugate momentum. In usual quantum mechanics (associated with Gaussian or Poisson classical random variables), the interpretation of the momentum operator was already clear to Heisenberg. How should we interpret the conjugate momentum operator associated with classical random variables outside the Gauss-Poisson class? The Introduction is intended to place in historical perspective the recent developments that are the main object of the present exposition.

摘要

发现任何具有所有矩的经典随机变量都会产生一个完整的量子理论(在高斯和泊松情况下与通常的理论一致),这意味着量子型形式体系将实际应用于经典概率和统计的几乎所有领域。新的挑战在于为不同类型的经典情境找到对诸如纠缠、正规序、平衡态等典型量子概念的经典解释。例如,每个经典对称随机变量都有一个与之典范关联的共轭动量。在通常的量子力学(与高斯或泊松经典随机变量相关联)中,海森堡已经清楚动量算符的解释。对于高斯 - 泊松类之外的经典随机变量相关联的共轭动量算符,我们应该如何解释呢?引言旨在从历史角度阐述作为本论述主要对象的近期发展。

相似文献

1
New Challenges for Classical and Quantum Probability.经典与量子概率面临的新挑战。
Entropy (Basel). 2022 Oct 21;24(10):1502. doi: 10.3390/e24101502.
10
Everettian relative states in the Heisenberg picture.海森堡绘景中的埃弗雷特相对态。
Proc Math Phys Eng Sci. 2021 Feb;477(2246):20200783. doi: 10.1098/rspa.2020.0783. Epub 2021 Feb 17.

引用本文的文献

1
Contextual measurement model and quantum theory.情境测量模型与量子理论。
R Soc Open Sci. 2024 Mar 20;11(3):231953. doi: 10.1098/rsos.231953. eCollection 2024 Mar.

本文引用的文献

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验