Monolithic Integration of an FP-SA Optical Spiking Neuron and SOA Synapse by Photonic Crystals

We demonstrate a monolithically integrated photonic chip that combines an optical spiking neuron with a tunable synaptic element. The spiking neuron is realized using a quantum-well Fabry–Perot laser integrated with a saturable absorber (FP-SA), while a semiconductor optical amplifier (SOA) functions as a photonic synapse. Two photonic-crystal (PC) mirrors define the laser cavity and enable effective modulation of the synaptic weight. Experimental results further confirm the capability of the SOA for continuous and controllable synaptic weight tuning. This work represents an important step toward scalable on-chip photonic spiking neural networks.

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Publication Details

Journal
Photonics
Published
2026-02-26
DOI
https://doi.org/10.3390/photonics13030220
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Monolithic Integration of an FP-SA Optical Spiking Neuron and SOA Synapse by Photonic Crystals

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Neural Networks and Reservoir Computing
article

Monolithic Integration of an FP-SA Optical Spiking Neuron and SOA Synapse by Photonic Crystals

Gang Sun, Xuan Huang, Hao Wang, Ningning Chen, Zeyu Wang, Wanhua Zheng, Yang Chen
article en

Abstract

We demonstrate a monolithically integrated photonic chip that combines an optical spiking neuron with a tunable synaptic element. The spiking neuron is realized using a quantum-well Fabry–Perot laser integrated with a saturable absorber (FP-SA), while a semiconductor optical amplifier (SOA) functions as a photonic synapse. Two photonic-crystal (PC) mirrors define the laser cavity and enable effective modulation of the synaptic weight. Experimental results further confirm the capability of the SOA for continuous and controllable synaptic weight tuning. This work represents an important step toward scalable on-chip photonic spiking neural networks.

PhotonicsVol. 13(3)
Chinese Academy of Sciences (CN), Institute of Semiconductors (CN), University of Chinese Academy of Sciences (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 45%
Neural Networks and Reservoir Computing
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