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All-optical information-processing capacity of diffractive surfaces

机译:衍射表面的全光信息处理能力

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摘要

a Schematic of a diffractive optical network that connects an input field-of-view (aperture) composed of Ni points to a desired region-of-interest at the output plane/aperture covering No points, through K-diffractive surfaces with N neurons per surface, sampled at a period of λ/2n, where λ and n represent the illumination wavelength and the refractive index of the medium between the surfaces, respectively. Without loss of generality, n = 1 was assumed in this paper. b The communication between two successive diffractive surfaces occurs through propagating waves when the axial separation (d) between these layers is larger than λ. Even if the diffractive surface has deeply subwavelength structures, as in the case of, e.g., metasurfaces, with a much smaller sampling period compared to λ/2 and many more degrees of freedom (M) compared to N, the information-processing capability of a diffractive surface within a network is limited to propagating modes since d ≥ λ; this limits the effective number of neurons per layer to N, even for a surface with M  N. H and H* refer to the forward- and backward-wave propagation, respectively
机译:衍射光网络的示意图,该衍射光网络将由Ni指向的输入视野(孔径)连接到输出平面/孔径的所需区域,覆盖没有点的k衍射表面,每个表面,在λ/ 2n的时段中采样,其中λ和n分别表示表面之间的照明波长和介质的折射率。在没有损失的情况下,在本文中假设n = 1。 b当这些层之间的轴向分离(d)大于λ时,通过传播波发生两个连续衍射表面之间的通信。即使衍射表面具有深深的亚波长结构,与例如元件相比,与λ/ 2相比,与Nλ/ 2等更小的自由度(m)相比,与n相比,的信息处理能力网络内的衍射表面限制为传播模式,因为D≥λ;这限制了每层的有效数量的n,即使对于具有m n的表面,也可以分别参考前向和后向波传播

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