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结构化泵浦量子模式识别

Structured-Pump-Enabled Quantum Pattern Recognition.

作者信息

Qiu Xiaodong, Zhang Dongkai, Zhang Wuhong, Chen Lixiang

机构信息

Department of Physics, Collaborative Innovation Center for Optoelectronic Semiconductors and Efficient Devices, and Jiujiang Research Institute, Xiamen University, Xiamen 361005, China.

出版信息

Phys Rev Lett. 2019 Mar 29;122(12):123901. doi: 10.1103/PhysRevLett.122.123901.

Abstract

We report a new scheme of ghost imaging by using a spatially structured pump in the Fourier domain of spontaneous parametric down-conversion for quantum-correlation-based pattern recognition. We exploit the mathematical feature of Laguerre-Gaussian mode's Fourier transform to describe the pump-modulated formation of a ghost image. Of particular interest is the experimental demonstration of a quantum equivalence of a Vander Lugt filter, based on which the nonlocal spiral phase contrast for vortex mapping and quantum-correlation-based human face recognition are implemented successfully. The photons used for probing a test object, scanning the database, and producing a correlation signal can belong to three different light beams, which suggests some security applications where low-light-level illumination and covert operation are desired.

摘要

我们报告了一种新的鬼成像方案,该方案通过在自发参量下转换的傅里叶域中使用空间结构化泵浦来实现基于量子关联的模式识别。我们利用拉盖尔 - 高斯模式傅里叶变换的数学特性来描述泵浦调制的鬼成像形成。特别值得关注的是范德卢格特滤波器量子等效性的实验演示,基于此成功实现了用于涡旋映射的非局域螺旋相位对比度和基于量子关联的人脸识别。用于探测测试对象、扫描数据库以及产生关联信号的光子可以属于三束不同的光束,这暗示了一些需要低光照水平照明和隐蔽操作的安全应用。

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