The rapidly growing computational demands of artificial intelligence (AI) and complex optimization tasks are increasingly straining conventional electronic architectures
which harnesses the unique properties of light to perform computation
has emerged as a compelling alternative. This perspective highlights a key advancement: a versatile nonlinear optoelectronic engine based on integrated photodetectors and micro-ring modulators (PD + MRM). This engine enables crucial functionalities like nonlinear activation and signal relay
forming a core building block for monolithic photonic processors. Its application in integrating optical Ising machines for optimization and optical recurrent neural networks (RNNs) for AI has been examined recently. The PD + MRM unit's inherent compactness
efficiency
and on-chip reconfigurable nonlinearity address historical photonic computing challenges
signaling a shift towards more versatile and scalable monolithic photonic processors.
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references
Li, C. et al. The challenges of modern computing and new opportunities for optics. PhotoniX 2 , 20 (2021)..
Zhou, H. L. et al. Photonic matrix multiplication lights up photonic accelerator and beyond. Light Sci. Appl. 11 , 30 (2022)..
Fu, T. Z. et al. Optical neural networks: progress and challenges. Light Sci. Appl. 13 , 263 (2024)..
Wu, B. et al. Real-valued optical matrix computing with simplified MZI mesh. Intell. Comput. 2 , 0047 (2023)..
Wu, B. et al. Monolithically integrated asynchronou s optical recurrent accelerator. eLight 5 , 7 (2025)..
Wu, B. et al. A monolithically integrated optical Ising machine. Nat. Commun. 16 , 4296 (2025)..
Xu, Z. F. et al. Reconfigurable nonlinear photonic activation function for photonic neural network based on non-volatile opto-resistive RAM switch. Light Sci. Appl. 11 , 288 (2022)..
Zhou, Z. W. et al. Ultrafast silicon/graphene optical nonlinear activator for neuromorphic computing. Adv. Optical Mater. 12 , 2401686 (2024)..
Tait, A. N. et al. Silicon photonic modulator neuron. Phys. Rev. Appl. 11 , 064043 (2019)..
Huang, C. R. et al. A silicon photonic-electronic neural network for fibre nonlinearity compensation. Nat. Electron. 4 , 837–844 (2021)..
Nozaki, K. et al. Femtofarad optoelectronic integration demonstrating energy-saving signal conversion and nonlinear functions. Nat. Photonics 13 , 454–459 (2019)..