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首页> 外文期刊>Stochastics: An International Journal of Probability and Stochastic Processes >Probabilistic approach to Page's formula for the entropy of a quantum subsystem
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Probabilistic approach to Page's formula for the entropy of a quantum subsystem

机译:量子子系统熵的佩奇公式的概率方法

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摘要

Page conjectured [Phys. Rev. Lett. 71, 1291-1294 (1993)] that if a quantum system of Hilbert space dimension mn is in a random pure state, the average entropy of a subsystem of dimension m≤n should be given by the simple and elegant formula S{sub}(m,n) = (∑{sub}(k=n+1)){sup}mn (1/k-(m-1)/2n). This formula appeared to be true and was first proved by Foong and Kanno [Phys. Rev. Lett. 72, 1148-1151 (1994)] by using Fourier transform, and next by Sanchez-Ruiz [Phys. Rev. E 52, 5653-5655 (1995)] and by Sen [Phys. Rev. Lett. 77, 1-3 (1996)] by using random matrix theory connected with generalized Laguerre polynomials. Adopting this last viewpoint, we detail the probabilistic approach to this problem. Especially, viewing any Gaussian vector as a product of a uniformly distributed unitary vector by an Erlang distribution, we give a new insight for the different entropies introduced by Page.
机译:专页猜想[物理牧师71,1291-1294(1993)],如果希尔伯特空间维数mn的量子系统处于随机纯状态,则维数m≤n的子系统的平均熵应由简单优雅的公式S {sub}给出(m,n)=(∑ {sub}(k = n + 1)){sup} mn(1 / k-(m-1)/ 2n)。这个公式似乎是正确的,最早是由Foong和Kanno [Phys。牧师72,1148-1151(1994)],然后使用Sanchez-Ruiz [Phys。 E 52,5653-5655(1995)]和Sen [Phys。牧师77,1-3(1996)]通过使用与广义Laguerre多项式有关的随机矩阵理论。通过采用最后一个观点,我们详细介绍了解决此问题的概率方法。尤其是,将任何高斯矢量看作是通过Erlang分布均匀分布的vector矢量的乘积,我们对Page引入的不同熵提供了新的见解。

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