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.
Authors
- Ioannis Roumpos (ORCID: https://orcid.org/0000-0001-5346-8895)
- Miltiadis Moralis‐Pegios (ORCID: https://orcid.org/0000-0002-9401-730X)
- Apostolos Tsakyridis (ORCID: https://orcid.org/0000-0003-1498-4904)
- N. Pleros
- June Sang Lee (ORCID: https://orcid.org/0000-0001-8766-3269)
- Yuhan He
- Nikolaos Farmakidis
- Harish Bhaskaran
- Bowei Dong
- Samarth Aggarwal
- Yi Zhang
Institutions
- Aristotle University of Thessaloniki (GR)
- University of Oxford (GB)
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
- 0.00