All-optical temporal integration mediated by subwavelength heat antennas

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 (50 GHz) 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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Publication Details

Journal
Nature Communications
Published
2025-12-23
DOI
https://doi.org/10.1038/s41467-025-67726-0
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
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article

All-optical temporal integration mediated by subwavelength heat antennas

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Nature Communications
Neural Networks and Reservoir Computing
article

All-optical temporal integration mediated by subwavelength heat antennas

Ioannis Roumpos, Miltiadis Moralis‐Pegios, Apostolos Tsakyridis, N. Pleros, June Sang Lee, Yuhan He, Nikolaos Farmakidis, Harish Bhaskaran, Bowei Dong, Samarth Aggarwal, Yi Zhang
article en

Abstract

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 (50 GHz) 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.

Nature CommunicationsVol. 17(1)
Aristotle University of Thessaloniki (GR), University of Oxford (GB)
Affordable and clean energy
Openalex Percentile: Top 19%
Neural Networks and Reservoir Computing
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