All-optical temporal integration mediated by subwavelength heat antennas
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Abstract (arXiv)
Optical computing systems deliver unrivalled processing speeds for scalar operations. Yet, integrated implementations have been constrained to low-dimensional tensor operations that fall short of the vector dimensions required for modern artificial intelligence. We demonstrate an all-optical neuromorphic computing system based on time division multiplexing, capable of processing input vectors exceeding 250,000 elements within a unified framework. The platform harnesses optically driven thermo-optic modulation in standing wave optical fields, with titanium nano-antennas functioning as wavelength-selective absorbers. Counterintuitively, the thermal time dynamics of the system enable simultaneous time integration of ultra-fast (50GHz) signals and the application of programmable, non-linear activation functions, entirely within the optical domain. This unified framework constitutes a leap towards large-scale photonic computing that satisfies the dimensional requirements of AI workloads.
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References · 8
- 2020Photonics for artificial intelligence and neuromorphic computingcited by 112
- 2016Neuromorphic Silicon Photonic Networkscited by 68
- 2022Experimentally realized in situ backpropagation for deep learning in nanophotonic neural networkscited by 44
- 2024Scalable MatMul-free Language Modelingcited by 25
- 2019Digital Electronics and Analog Photonics for Convolutional Neural Networks (DEAP-CNNs)cited by 22
- 2020Photonic tensor cores for machine learningcited by 16
- 2023Ultrafast single-channel machine vision based on neuro-inspired photonic computingcited by 3
- 2025A 262 TOPS Hyperdimensional Photonic AI Accelerator powered by a Si3N4 microcomb lasercited by 1
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