Cavity Solitons as a Nonlinear Substrate for Photonic Neuromorphic Computing
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arXiv
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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866910235620278272 |
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| author | Arabieh, Amir Arsalan Lupo, Alessandro Gorza, Simon-Pierre Massar, Serge |
| author_facet | Arabieh, Amir Arsalan Lupo, Alessandro Gorza, Simon-Pierre Massar, Serge |
| contents | Reservoir computing leverages nonlinear dynamics of physical systems to process temporal information with minimal training cost. Here, we demonstrate that cavity solitons sustained in a fiber optical cavity provide an optical platform for photonic reservoir computing. Our methodology exploits the use of a phase-modulated drive laser to encode the input, while the reservoir states are accessed through frequency-resolved readout. Numerical simulations indicate that the emission of Kelly waves enriches the dynamics and enhances performance for machine learning tasks. We evaluate the performance of the cavity-soliton reservoir computer on several standard benchmark tasks. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_18110 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Cavity Solitons as a Nonlinear Substrate for Photonic Neuromorphic Computing Arabieh, Amir Arsalan Lupo, Alessandro Gorza, Simon-Pierre Massar, Serge Optics Reservoir computing leverages nonlinear dynamics of physical systems to process temporal information with minimal training cost. Here, we demonstrate that cavity solitons sustained in a fiber optical cavity provide an optical platform for photonic reservoir computing. Our methodology exploits the use of a phase-modulated drive laser to encode the input, while the reservoir states are accessed through frequency-resolved readout. Numerical simulations indicate that the emission of Kelly waves enriches the dynamics and enhances performance for machine learning tasks. We evaluate the performance of the cavity-soliton reservoir computer on several standard benchmark tasks. |
| title | Cavity Solitons as a Nonlinear Substrate for Photonic Neuromorphic Computing |
| topic | Optics |
| url | https://arxiv.org/abs/2602.18110 |