Parallelized and Cascadable Optical Logic Operations by Few-Layer Diffractive Optical Neural Network

Xianjin Liu; Dasen Zhang; Licheng Wang; Ting Ma; Zhenzhen Liu; Jun-Jun Xiao

doi:10.3390/photonics10050503

,

and

¹

College of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China

²

Shenzhen Engineering Laboratory of Aerospace Detection and Imaging, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China

^*

Author to whom correspondence should be addressed.

Photonics2023, 10(5), 503;https://doi.org/10.3390/photonics10050503

This article belongs to the Special Issue Recent Trends in Computational Photonics

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Abstract

Optical computing has gained much attention due to its high speed, low energy consumption, and the fact that it is naturally parallelizable and multiplexable, etc. Single-bit optical logic gates based on a four-hidden-layer diffractive optical neural network (DONN) have been demonstrated with paired apertures. Here, we show a parallel-logic operation strategy based on two-hidden-layer DONN, showcasing their efficiency by multiple-bit (up to 16-bit) optical logic (e.g., NAND) operations. In addition, we demonstrate how NAND-DONN units can be utilized to achieve NOR and AND operations by flipping and cascading the DONN.

Keywords:

diffractive optical neural network; parallel logic operation; multiple bits

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