arXiv · 2412.13531
Multiplexed Metasurfaces for Diffractive Optics via Phase Correlation Method
Abstract
The multiplexing capability of metasurfaces has been successfully demonstrated in applications such as holography and diffractive neural networks. However, identifying a suitable structure that simultaneously satisfies the phase requirements across multiple channels remains a significant challenge in many multiplexing design scenarios. In this study, we propose an innovative phase correlation method for metasurface multiplexing design that utilizes a multi-layer perceptron to establish phase correlations across multiple channels. This approach reduces the difficulty of multi-channel phase training by converting it into a simpler single-channel optimization task, thereby reducing design complexity and computational cost. Using the proposed method, we design a dual-wavelength multiplexed diffractive neural network and a multi-wavelength metasurface color holography under a linear polarization. The designed multiplexed metasurface achieves up to 90% classification accuracy in image recognition and exhibits good performance in color holography.
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Chenxuan Xiang, Jumin Qiu, Qiegen Liu, Shuyuan Xiao, Tingting Liu. 2024-12-18. Multiplexed Metasurfaces for Diffractive Optics via Phase Correlation Method. https://doi.org/10.1364/ol.553470
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