Versatile spectrum processing based on a compact diffractive neural network

Yinfei Zhu; Jinlei Fei; Bolin Li; Min Gu; Jian Lin

doi:10.1117/12.2641691

19 December 2022 Versatile spectrum processing based on a compact diffractive neural network

Yinfei Zhu, Jinlei Fei, Bolin Li, Min Gu, Jian Lin

Proceedings Volume 12318, Holography, Diffractive Optics, and Applications XII; 123180C (2022) https://doi.org/10.1117/12.2641691
Event: SPIE/COS Photonics Asia, 2022, Online Only

Abstract

Spectral processing is of great importance in optical research and applications. However, there are currently no multifunctional spectral processing devices with advanced processing capabilities. In this work, we implement on-demand spectral processing using a compact optical diffraction neural network (D2 NN), which includes only an SLM and a plane mirror. Spectral processing functions can be easily switched by changing the phase diagram on the SLM, which is obtained by computer pre-training of the D² NN for a specific task. Tunable single and dual-band spectral filtering and wavelength demultiplexing are achieved.

Conference Presentation

Citation Download Citation

Yinfei Zhu, Jinlei Fei, Bolin Li, Min Gu, and Jian Lin "Versatile spectrum processing based on a compact diffractive neural network", Proc. SPIE 12318, Holography, Diffractive Optics, and Applications XII, 123180C (19 December 2022); https://doi.org/10.1117/12.2641691

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