Experimental demonstration of a photonic spiking neuron based on a DFB laser subject to side-mode optical pulse injection

Xiang, Shuiying; Gao, Shuang; Shi, Yuechun; Zhang, Yuna; Song, Ziwei; Guo, Xingxing; Zhang, Yahui; Ma, Yuxin; Chen, Xiangfei

doi:10.1007/s11432-023-3810-9

Sci. China Inf. Sci.

2024

DOI: 10.1007/s11432-023-3810-9

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Experimental demonstration of a photonic spiking neuron based on a DFB laser subject to side-mode optical pulse injection

Shuiying Xiang,

Shuang Gao,

Yuechun Shi

et al.

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Cited by 2 publications

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Photonic Neuromorphic Pattern Recognition with a Spiking DFB‐SA Laser Subject to Incoherent Optical Injection

Zhang,

Xiang,

et al. 2024

Laser & Photonics Reviews

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Photonic neuromorphic computing is a competitive paradigm to overcome the bottleneck of von Neumann architectures. Incoherent and coherent synaptic networks are two popular schemes realizing photonic weighting functions. Previous works have proved the distributed feedback (DFB) laser with an intracavity saturable absorber (DFB‐SA) can behavior like a spiking neuron. However, the compatibility with the incoherent synaptic architecture has not yet been demonstrated. Here the neuron‐like dynamics of a DFB‐SA laser subject to single‐wavelength and multiple‐wavelengths incoherent optical injections are experimentally demonstrated. The results show that, for the DFB‐SA laser subject to single‐wavelength incoherent injection, the neuron‐like dynamics including threshold, temporal integration, and refractory period are achieved. Besides, the range of injection wavelength that leads to a successful neuron‐like response is identified. For the DFB‐SA laser with four‐wavelength incoherent optical injection, the neuron‐like dynamics can also be achieved. In addition, the effect of wavelength interval is also considered. The logic XOR operation and Iris recognition tasks are successfully implemented. Furthermore, the feasibility of a cascaded system for the DFB‐SA lasers with four‐wavelengths incoherent optical injection is demonstrated. This work provides a feasible scheme for the system integration of photonic spiking neurons and incoherent synaptic networks.

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Photonic Neuromorphic Pattern Recognition with a Spiking DFB‐SA Laser Subject to Incoherent Optical Injection

Zhang,

Xiang,

et al. 2024

Laser & Photonics Reviews

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Semiconductor lasers for photonic neuromorphic computing and photonic spiking neural networks: A perspective

Xiang,

Han,

Gao

et al. 2024

APL Photonics

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Photonic neuromorphic computing has emerged as a promising avenue toward building a high-speed, low-latency, and energy-efficient non-von-Neumann computing system. Photonic spiking neural network (PSNN) exploits brain-like spatiotemporal processing to realize high-performance neuromorphic computing. Linear weighting and nonlinear spiking activation are two fundamental functions of a SNN. However, the nonlinear computation of PSNN remains a significant challenge. Therefore, this perspective focuses on the nonlinear computation of photonic spiking neurons, including numerical simulation, device fabrication, and experimental demonstration. Different photonic spiking neurons are considered, such as vertical-cavity surface-emitting lasers, distributed feedback (DFB) lasers, Fabry–Pérot (FP) lasers, or semiconductor lasers embedded with saturable absorbers (SAs) (e.g., FP-SA and DFB-SA). PSNN architectures, including fully connected and convolutional structures, are developed, and supervised and unsupervised learning algorithms that take into account optical constraints are introduced to accomplish specific applications. This work covers devices, architectures, learning algorithms, and applications for photonic and optoelectronic neuromorphic computing and provides our perspective on the challenges and prospects of photonic neuromorphic computing based on semiconductor lasers.

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Experimental demonstration of a photonic spiking neuron based on a DFB laser subject to side-mode optical pulse injection

Cited by 2 publications

References 46 publications

Photonic Neuromorphic Pattern Recognition with a Spiking DFB‐SA Laser Subject to Incoherent Optical Injection

Photonic Neuromorphic Pattern Recognition with a Spiking DFB‐SA Laser Subject to Incoherent Optical Injection

Semiconductor lasers for photonic neuromorphic computing and photonic spiking neural networks: A perspective

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