Optical pulse subtractor for fiber neural networks

Negative weight modulation has always been a challenge in constructing fiber neural networks. This problem can be alleviated by separately modulating neighboring pulses with positive weights and negative weights, respectively, and performing subtractions after PD detection electronically. Therefore, both inserting a nonlinear activation module and cascading layers optically become hard for fiber neural networks since all these two operations are based on subtractions of four neighboring pulses so as to obtain the final results after each layer. In order to address this problem, a novel scheme for an optical pulse subtractor, to the best of our knowledge, is proposed and demonstrated in this manuscript. By adopting devices such as a tunable attenuator, a beam splitter, and a photo-diode, this optical pulse subtractor can do both optical pulse subtraction operation and the nonlinear activation function optically, which will later become a powerful tool for deep fiber neural network construction.

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Publication Details

Journal
Applied Optics
Published
2025-04-21
DOI
https://doi.org/10.1364/ao.542563
Primary Topic
Advanced Fiber Laser Technologies
Type
article
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Optical pulse subtractor for fiber neural networks

Zhipeng Lin, Yuqiu Gu, Boyu Hua, Yubin Zang et al.
4 links
Applied Optics
Advanced Fiber Laser Technologies
article

Optical pulse subtractor for fiber neural networks

Zhipeng Lin, Yuqiu Gu, Boyu Hua, Yubin Zang, Simin Li
article en

Abstract

Negative weight modulation has always been a challenge in constructing fiber neural networks. This problem can be alleviated by separately modulating neighboring pulses with positive weights and negative weights, respectively, and performing subtractions after PD detection electronically. Therefore, both inserting a nonlinear activation module and cascading layers optically become hard for fiber neural networks since all these two operations are based on subtractions of four neighboring pulses so as to obtain the final results after each layer. In order to address this problem, a novel scheme for an optical pulse subtractor, to the best of our knowledge, is proposed and demonstrated in this manuscript. By adopting devices such as a tunable attenuator, a beam splitter, and a photo-diode, this optical pulse subtractor can do both optical pulse subtraction operation and the nonlinear activation function optically, which will later become a powerful tool for deep fiber neural network construction.

Applied OpticsVol. 64(14)
Nanjing University of Aeronautics and Astronautics (CN)
Affordable and clean energy
Openalex Percentile: Top 94%
Advanced Fiber Laser Technologies
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Optical pulse subtractor for fiber neural networks — Zhipeng Lin, Yuqiu Gu, et al. · Applied Optics (2025) | TGRS Research Map | TGRS