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August 22, 2025Open Access

Review on Integrated Photonic Neural Networks

Key Points

Photonic neural networks can achieve ultrafast speeds and ultralow energy consumption, enabling a new era of intelligent computing.
Key advancements include the use of photons as information carriers, noting huge potential improvements over traditional electronic systems.
The technology primarily utilizes photonic integrated circuits to create compact and efficient hardware for neural network applications.
This approach could revolutionize fields like computer vision and natural language processing by enabling faster and more energy-efficient computing.

Abstract

Neural networks (NNs), inspired by the biological visual cortex, have been widely applied in computer vision, natural language processing, and beyond. As Moore's Law approaches its physical limits, photonic neural networks (PNNs), which leverage photons rather than electrons as information carriers, have emerged as a promising technological advancement. With ultrafast speeds and ultralow energy consumption in ultra-high throughput, PNNs usher in a new generation of intelligent computing. Moreover, the advent of photonic integrated circuits (PICs) provides a compact and reliable hardware platform for computing, further advancing the development of PNNs.

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Cite This Study

Xu et al. (Fri,) studied this question.

synapsesocial.com/papers/68af5d75ad7bf08b1eae145b https://doi.org/https://doi.org/10.20944/preprints202508.1621.v1

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