4.6 Article

Quantum-enhanced passive remote sensing

期刊

PHYSICAL REVIEW A
卷 106, 期 1, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevA.106.012601

关键词

-

资金

  1. DFG [BR 5221/3-1]

向作者/读者索取更多资源

In this study, we theoretically investigate the ultimate resolution achievable with passive remote sensing in the microwave regime used for satellite observations of Earth, such as the SMOS mission. We provide a fully quantum mechanical analysis of the problem, considering thermal distributions of microscopic currents on the surface to be imaged and their coherent mixture with the electromagnetic field, which is then measured using an array of antennas. We derive the optimal detection modes and measurement schemes that can saturate the quantum Cram??r-Rao bound for the chosen parameters, and find that a quantum enhancement of spatial resolution by more than a factor of 20 should be possible in certain parameter regimes.
We investigate theoretically the ultimate resolution that can be achieved with passive remote sensing in the microwave regime used, e.g., on board of satellites observing Earth, such as the soil moisture and ocean salinity (SMOS) mission. We give a fully quantum mechanical analysis of the problem, starting from thermal distributions of microscopic currents on the surface to be imaged that lead to a mixture of coherent states of the electromagnetic field which are then measured with an array of antennas. We derive the optimal detection modes and measurement schemes that allow one to saturate the quantum Cram??r-Rao bound for the chosen parameters that determine the distribution of the microscopic currents. For parameters comparable to those of SMOS, a quantum enhancement of the spatial resolution by more than a factor of 20 should be possible with a single measurement and a single detector, and a resolution down to the order of 1 m and less than a 110 K for the theoretically possible maximum number of measurements.

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