论文标题
随机纯净状态,密度操作员形式主义和ZEH问题
Random-coefficient pure states, the density operator formalism and the Zeh problem
论文作者
论文摘要
量子电子物质显着参与量子信息处理领域的发展。在这个领域中,盲量源分离和盲量量子过程的生长导致在希尔伯特空间的形式上,引入了随机纯正状态或RCP的概念:其所选基础发展的系数是随机变量。本文首先描述了需要引入的实验情况。 von Neumann的统计混合物方法考虑了可观察到的统计特性,但在存在RCP的存在下,必须操纵测量结果的概率的统计特性,但这些概率本身就是随机变量。还记得,在冯·诺伊曼(Von Neumann)统计混合物的存在下,密度运算符\ r {ho}形式主义的一致性基于假设。 RCP概念的兴趣通过两个实例提出了自旋1/2的简单情况。量子力学用户对\ r {ho}形式主义的最常使用是建立给定的RCP与密度操作员形式主义语言之间建立一些联系的动机,同时牢记RCP所描述的情况与导致\ r {HO {HO}引入的情况不同。可以确定,在与von Neumann统计混合物和RCP的情况不同的情况下,动员了\ r {ho}的使用\ r {ho}。结果表明,精心挑选的随机变量的高阶矩使用有助于解决ZEH在1970年已经确定的问题。
Quantum electronics is significantly involved in the development of the field of quantum information processing. In this domain, the growth of Blind Quantum Source Separation and Blind Quantum Process Tomography has led, within the formalism of the Hilbert space, to the introduction of the concept of a Random-Coefficient Pure State, or RCPS: the coefficients of its development in the chosen basis are random variables. This paper first describes an experimental situation necessitating its introduction. While the von Neumann approach to a statistical mixture considers statistical properties of an observable, in the presence of an RCPS one has to manipulate statistical properties of probabilities of measurement outcomes, these probabilities then being themselves random variables. It is recalled that, in the presence of a von Neumann statistical mixture, the consistency of the density operator \r{ho} formalism is based on a postulate. The interest of the RCPS concept is presented in the simple case of a spin 1/2, through two instances. The most frequent use of the \r{ho} formalism by users of quantum mechanics is a motivation for establishing some links between a given RCPS and the language of the density operator formalism, while keeping in mind that the situation described by an RCPS is different from the one which has led to the introduction of \r{ho}. It is established that the Landau - Feynman use of \r{ho} is mobilized in a situation differing from both the von Neumann statistical mixture and the RCPS. It is shown that the use of the higher-order moments of a well-chosen random variable helps solving a problem already identified by Zeh in 1970.