All-optical temporal integration mediated by subwavelength heat antennas
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915427807920128 |
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| author | Zhang, Yi Farmakidis, Nikolaos Roumpos, Ioannis Moralis-Pegios, Miltiadis Tsakyridis, Apostolos Lee, June Sang Dong, Bowei He, Yuhan Aggarwal, Samarth Pleros, Nikolaos Bhaskaran, Harish |
| author_facet | Zhang, Yi Farmakidis, Nikolaos Roumpos, Ioannis Moralis-Pegios, Miltiadis Tsakyridis, Apostolos Lee, June Sang Dong, Bowei He, Yuhan Aggarwal, Samarth Pleros, Nikolaos Bhaskaran, Harish |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_04405 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | All-optical temporal integration mediated by subwavelength heat antennas Zhang, Yi Farmakidis, Nikolaos Roumpos, Ioannis Moralis-Pegios, Miltiadis Tsakyridis, Apostolos Lee, June Sang Dong, Bowei He, Yuhan Aggarwal, Samarth Pleros, Nikolaos Bhaskaran, Harish Optics Artificial Intelligence Applied Physics 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. |
| title | All-optical temporal integration mediated by subwavelength heat antennas |
| topic | Optics Artificial Intelligence Applied Physics |
| url | https://arxiv.org/abs/2505.04405 |