Numerical demonstration of neuromorphic computing with photonic crystal cavities
dc.contributor.author | Laporte, Floris | |
dc.contributor.author | Katumba, Andrew | |
dc.contributor.author | Dambre, Joni | |
dc.contributor.author | Bienstman, Peter | |
dc.date.accessioned | 2022-11-30T21:02:20Z | |
dc.date.available | 2022-11-30T21:02:20Z | |
dc.date.issued | 2018 | |
dc.description.abstract | We propose a new design for a passive photonic reservoir computer on a silicon photonics chip which can be used in the context of optical communication applications, and study it through detailed numerical simulations. The design consists of a photonic crystal cavity with a quarter-stadium shape, which is known to foster interesting mixing dynamics. These mixing properties turn out to be very useful for memory-dependent optical signal processing tasks, such as header recognition. The proposed, ultra-compact photonic crystal cavity exhibits a memory of up to 6 bits, while simultaneously accepting bitrates in a wide region of operation. Moreover, because of the inherent low losses in a high-Q photonic crystal cavity, the proposed design is very power efficient. | en_US |
dc.identifier.citation | Laporte, F., Katumba, A., Dambre, J., & Bienstman, P. (2018). Numerical demonstration of neuromorphic computing with photonic crystal cavities. Optics express, 26(7), 7955-7964. https://doi.org/10.1364/OE.26.007955 | en_US |
dc.identifier.uri | https://doi.org/10.1364/OE.26.007955 | |
dc.identifier.uri | https://nru.uncst.go.ug/handle/123456789/5587 | |
dc.language.iso | en | en_US |
dc.publisher | Optics express | en_US |
dc.subject | Numerical demonstration | en_US |
dc.subject | Neuromorphic computing | en_US |
dc.subject | Photonic crystal cavities | en_US |
dc.title | Numerical demonstration of neuromorphic computing with photonic crystal cavities | en_US |
dc.type | Article | en_US |
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