Scalable reservoir computing on coherent linear photonic processor
Optical computing holds promise for high-speed, low-energy information processing due to its large bandwidth and ability to multiplex signals. The authors propose a recurrent neural network implementation using reservoir computing architecture in an integrated photonic processor capable of performin...
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| Autores principales: | , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/6586e4669831479db118d3aa723a6fda |
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| Sumario: | Optical computing holds promise for high-speed, low-energy information processing due to its large bandwidth and ability to multiplex signals. The authors propose a recurrent neural network implementation using reservoir computing architecture in an integrated photonic processor capable of performing ~10 tera multiplication–accumulation operations per second for each wavelength channel. |
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