Orbital angular momentum logic gates based on optical diffraction neural network

Zhaohui Li; Yingjie Guo

doi:10.1117/12.2678875

14 April 2023 Orbital angular momentum logic gates based on optical diffraction neural network

Zhaohui Li, Yingjie Guo

Proceedings Volume 12634, International Conference on Optics and Machine Vision (ICOMV 2023); 1263404 (2023) https://doi.org/10.1117/12.2678875
Event: International Conference on Optics and Machine Vision (ICOMV 2023), 2023, Changsha, China

Abstract

Vortex beams with orthogonal Orbital Angular Momentum (OAM) modes have potential applications in optical computing. By exploiting the learning capability of deep neural network and the complex light-field manipulation ability of multilayer diffraction layers, the spatial position of the vortex beam is manipulated by a five-layer diffraction deep neural network as the input of the logic gate. The result of the logic gate is expressed as the light intensity in the output plane. The simulation results show that the accuracy of AND gate and OR gate is 0.9912 and 0.9887 respectively, which proves that the method of implementing logic gate based on diffraction deep neural network modulated OAM is feasible.

Citation Download Citation

Zhaohui Li and Yingjie Guo "Orbital angular momentum logic gates based on optical diffraction neural network", Proc. SPIE 12634, International Conference on Optics and Machine Vision (ICOMV 2023), 1263404 (14 April 2023); https://doi.org/10.1117/12.2678875

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KEYWORDS

Logic devices

Diffraction

Education and training

Neural networks

Modulation

Optical logic

Angular momentum

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