ArticleNanophotonics (Berlin, Germany)2024
Redundancy-free integrated optical convolver for optical neural networks based on arrayed waveguide grating.
Article in Nanophotonics (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Emerging integrated photonic neural network technologies for artificial intelligence: from devices to systems.National science review · 2026Review
- Photonic edge intelligence chip for multi-modal sensing, inference and learning.Nature communications · 2025Article
- Highly efficient photonic convolver via lossless mode-division fan-in.Nature communications · 2025Article
- Seamless optical cloud computing across edge-metro network for generative AI.Nature communications · 2025Article
- All-optical convolutional neural network based on phase change materials in silicon photonics platform.Scientific reports · 2025Article
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Authors and funding
7 authors.
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Abstract
Optical neural networks (ONNs) have gained significant attention due to their potential for high-speed and energy-efficient computation in artificial intelligence. The implementation of optical convolutions plays a vital role in ONNs, as they are fundamental operations within neural network architectures. However, state-of-the-art convolution architectures often suffer from redundant inputs, leading to substantial resource waste. Here, we demonstrate an integrated optical convolution architecture that leverages the inherent routing principles of arrayed waveguide grating (AWG) to execute the sliding of convolution kernel and summation of results.
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