空间模拟光计算的最新进展

A. Vafa, Parisa Karimi, A. Khavasi
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引用次数: 4

摘要

传统的模拟计算机以电子方式或机械方式进行数学运算,其体积相对较大,响应速度较慢。最近,空间模拟光计算的思想克服了这些限制。实现空间模拟光学计算的不同技术可以分为两种基本方法:(I)超表面(MS)方法和(II)格林函数(GF)方法。在第一种方法中,设计了一个元表面来实现空间域中所需算子的格林函数。这意味着这种方法需要两个子块来执行傅里叶变换和反傅里叶变换。另一方面,在第二种方法中,光场在经过适当设计的结构时被修改,使得期望的算子直接在空间傅里叶域中实现。GF方法利用了适当定制的光学超材料和超表面的非局部(k依赖)响应。但它又施加了另一个限制,即除非对称性被打破,否则只能实现偶对称的传递函数。在这篇综述中,在解释了上述方法之后,我们将用GF方法设计的算子根据其谐振和非谐振性质分为两类。诸如基于表面模式激励的谐振设计在相对较窄的带宽内具有高增益响应。相反,利用光子自旋霍尔效应的非谐振设计以低增益提供更高的带宽。接下来,我们回顾了空间模拟光学计算的丰富应用,如边缘检测,图像平滑,周期性噪声抑制,Grovers量子搜索算法,求解积分微分方程等,这些应用来自不同的数学运算,如空间微分,空间积分,高/低通滤波,拉普拉斯算子等光学实现。尽管在某些情况下已经提出了实验证明,但这些想法中的大多数已经进行了数值研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Advances in Spatial Analog Optical Computing
Traditional analog computers that perform mathematical operations electronically or mechanically suffer from their relatively large size and slow response. Recently, the idea of spatial analog optical computing has overcome these restrictions. The different techniques to implement spatial analog optical computation can be categorized into two fundamental approaches: (I) metasurface (MS) approach and (II) Green’s function (GF) approach. In the first approach, a metasurface is designed to implement the Green’s function of the desired operator in the spatial domain. This means that this approach needs two sub-blocks to perform Fourier and inverse Fourier transform. On the other hand, in the second approach, the optical field is modified while it travels through an appropriately designed structure such that the desired operator is directly implemented in the spatial Fourier domain. GF approach takes advantage of the nonlocal (k-dependent) response of properly tailored optical metamaterials and metasurfaces. But it imposes another restriction that only transfer functions with even symmetry can be realized unless symmetry is broken. In this review, after explaining the mentioned approaches, we classify the operators designed by the GF method in two groups based on their resonant or non-resonant nature. The resonant designs such as those that are based on surface mode excitation possess a high-gain response in a relatively narrow bandwidth. On the contrary, the non-resonant designs such as those that use photonic spin Hall effect provide higher bandwidth with a low gain. Next, we review a rich set of the applications of spatial analog optical computing e.g., edge detection, image smoothing, periodic noise suppression, Grovers quantum search algorithm, solving integro-differential equations, etc. which have emerged from different mathematical operations e.g., spatial differentiation, spatial integration, hig/low pass filtering, Laplace operator, etc. implemented optically. Most of these ideas have been investigated numerically although experimental demonstrations have been presented in some cases.
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