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arXiv quant-ph/0106125quant-ph
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量子力学中的协方差与Fisher信息

Covariance and Fisher information in quantum mechanics

Denes Petz

摘要:

方差和Fisher信息是Cramer-Rao不等式的组成部分。我们把Fisher信息看作量子统计流形上的黎曼度量,并选择粗粒化下的单调性作为方差和Fisher信息的基本性质。在这种方法中,我们表明,有一种双重的一对一的两个概念的候选人之间的对应关系。我们强调Fisher信息是从状态空间上的相对熵作为对比度函数得到的,并认为标量曲率可以解释为统计流形上的不确定性密度。

英文摘要:

Variance and Fisher information are ingredients of the Cramer-Rao inequality. We regard Fisher information as a Riemannian metric on a quantum statistical manifold and choose monotonicity under coarse graining as the fundamental property of variance and Fisher information. In this approach we show that there is a kind of dual one-to-one correspondence between the candidates of the two concepts. We emphasis that Fisher informations are obtained from relative entropies as contrast functions on the state space and argue that the scalar curvature might be interpreted as an uncertainty density on a statistical manifold.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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