The Cramér-Rao approach and global quantum estimation of bosonic states

Masahito Hayashi, Yingkai Ouyang
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Abstract

Quantum state estimation is a fundamental task in quantum information theory, where one estimates real parameters continuously embedded in a family of quantum states. In the theory of quantum state estimation, the widely used Cram\'er Rao approach which considers local estimation gives the ultimate precision bound of quantum state estimation in terms of the quantum Fisher information. However practical scenarios need not offer much prior information about the parameters to be estimated, and the local estimation setting need not apply. In general, it is unclear whether the Cram\'er-Rao approach is applicable for global estimation instead of local estimation. In this paper, we find situations where the Cram\'er-Rao approach does and does not work for quantum state estimation problems involving a family of bosonic states in a non-IID setting, where we only use one copy of the bosonic quantum state in the large number of bosons setting. Our result highlights the importance of caution when using the results of the Cram\'er-Rao approach to extrapolate to the global estimation setting.
克拉梅尔-拉奥方法和玻色态的全局量子估计
量子态估计是量子信息论中的一项基本任务,即对连续嵌入量子态族中的实参进行估计。在量子态估计理论中,广泛使用的克拉姆-埃尔-拉奥(Cram/'er Rao)方法考虑了局部估计,给出了量子态估计的量子费雪信息终极精度边界。然而,实际应用场景并不需要提供太多关于待估算参数的先验信息,因此局部估算设置并不适用。一般来说,Cram\'er-Rao 方法是否适用于全局估计而非局部估计尚不清楚。在本文中,我们发现了克拉姆/埃尔-拉奥方法在涉及非 IID 背景下玻色态家族的量子态估计问题中适用和不适用的情况,在大量玻色子背景下,我们只使用了玻色量子态的一个副本。我们的结果凸显了在使用克拉姆/埃尔-拉奥方法的结果外推到全局估计环境时必须谨慎的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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