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arXiv 2001.11742quant-ph
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超越量子费舍尔信息的多参数估计

Multi-parameter estimation beyond Quantum Fisher Information

Rafal Demkowicz-Dobrzanski, Wojciech Gorecki, Madalin Guta

摘要:

本文旨在收集最相关的量子多参数估计方法,超越了直接使用的量子费舍尔信息的概念。我们详细讨论了Holevo Cramér-Rao界,量子局部渐近正态性方法以及贝叶斯方法。尽管该领域的基本概念在40多年前就已经提出,但一些重要的成果是最近才出现的。此外,该领域最近由于实际量子精密测量建议和实现的进展而引起了越来越多的关注,这些建议和实现通常涉及同时估计多个参数。由于这些主题在文献中传播,并且通常以非常正式的数学语言提供,因此本文的主要目标之一是提供一个基本上独立的工作,使读者能够遵循大多数推导,并使用一组简单但具有代表性的例子直观地理解不同概念之间的相互关系,这些例子涉及量子比特和高斯位移模型。

英文摘要:

This review aims at gathering the most relevant quantum multi-parameter estimation methods that go beyond the direct use of the Quantum Fisher Information concept. We discuss in detail the Holevo Cramér-Rao bound, the Quantum Local Asymptotic Normality approach as well as Bayesian methods. Even though the fundamental concepts in the field have been laid out more than forty years ago, a number of important results have appeared much more recently. Moreover, the field drew increased attention recently thanks to advances in practical quantum metrology proposals and implementations that often involve estimation of multiple parameters simultaneously. Since these topics are spread in the literature and often served in a very formal mathematical language, one of the main goals of this review is to provide a largely self-contained work that allows the reader to follow most of the derivations and get an intuitive understanding of the interrelations between different concepts using a set of simple yet representative examples involving qubit and Gaussian shift models.

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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