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2025 ; 14
(1
): 302
Nephropedia Template TP
Light Sci Appl
2025[Sep]; 14
(1
): 302
PMID40908283
show ga
The rapidly growing computational demands of artificial intelligence (AI) and
complex optimization tasks are increasingly straining conventional electronic
architectures, driving the search for novel, energy-efficient processing
paradigms. Photonic computing, 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.