4.6 Article

Dynamical phase transitions as a resource for quantum enhanced metrology

期刊

PHYSICAL REVIEW A
卷 93, 期 2, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevA.93.022103

关键词

-

资金

  1. Leverhulme Trust [F/00114/BG]
  2. EPSRC [EP/J009776/1]
  3. European Research Council under the European Union's Seventh Framework Programme through ERC Grant [FP/2007-2013, 335266 (ESCQUMA)]
  4. FET-XTRACK Grant [512862]
  5. Engineering and Physical Sciences Research Council [EP/J009776/1] Funding Source: researchfish
  6. EPSRC [EP/J009776/1] Funding Source: UKRI

向作者/读者索取更多资源

We consider the general problem of estimating an unknown control parameter of an open quantum system. We establish a direct relation between the evolution of both system and environment and the precision with which the parameter can be estimated. We show that when the open quantum system undergoes a first-order dynamical phase transition the quantum Fisher information (QFI), which gives the upper bound on the achievable precision of any measurement of the system and environment, becomes quadratic in observation time (cf. Heisenberg scaling). In fact, the QFI is identical to the variance of the dynamical observable that characterizes the phases that coexist at the transition, and enhanced scaling is a consequence of the divergence of the variance of this observable at the transition point. This identification makes it possible to establish the finite time scaling of the QFI. Near the transition the QFI is quadratic in time for times shorter than the correlation time of the dynamics. In the regime of enhanced scaling the optimal measurement whose precision is given by the QFI involves measuring both system and output. As a particular realization of these ideas, we describe a theoretical scheme for quantum enhanced estimation of an optical phase shift using the photons being emitted from a quantum system near the coexistence of dynamical phases with distinct photon emission rates.

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