4.6 Article

Sub-shot-noise-limited phase estimation via single-mode inputs

期刊

OPTICS EXPRESS
卷 30, 期 24, 页码 43143-43156

出版社

Optica Publishing Group
DOI: 10.1364/OE.474643

关键词

-

类别

资金

  1. National Natural Science Foundation of China [12104193]
  2. Natural Science Research of Jiangsu Higher Education Institutions of China [21KJB140007]
  3. Shuangchuang Ph.D Award [JSSCBS20210915]
  4. Project for Leading Innovative Talents in Changzhou [CQ20210107]

向作者/读者索取更多资源

This paper investigates the phase sensitivity limits of a Mach-Zehnder interferometer with specific scenarios and optimal single-mode input choices, as well as the effects of several realistic factors on phase sensitivity.
In 1981, Caves pointed out that the phase sensitivity of a Mach-Zehnder interferometer with single-mode inputs is bounded by the shot-noise limit. The quantum Fisher information analysis shows that this statement holds true for the scenario where two antisymmetric phase shifts occur in two arms, but it is invalid for the scenario where an unknown phase is embedded in one of two arms. In this paper, we focus on the phase sensitivity directed against the latter scenario. The optimal single-mode input is discussed by analyzing common states, including displaced squeezed states, displaced number states, squeezed number states, Schrodinger cat states and completely mixed states. We find that the best choice is a squeezed vacuum state and show the specific measurement scheme which is capable of saturating the corresponding phase sensitivity limit. In addition, we study the effects of several realistic factors-anti-squeezing noise, photon loss and dark counts-on the phase sensitivity. Our results suggest that sub-shot-noise-limited phase sensitivity is attainable with low noise or loss, which paves the way for practical metrology. (C) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据