Numerical demonstration of neuromorphic computing with photonic crystal cavities

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dc.contributor.authorLaporte, Floris
dc.contributor.authorKatumba, Andrew
dc.contributor.authorDambre, Joni
dc.contributor.authorBienstman, Peter
dc.date.accessioned2022-11-30T21:02:20Z
dc.date.available2022-11-30T21:02:20Z
dc.date.issued2018
dc.description.abstractWe 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.citationLaporte, 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.26.007955en_US
dc.identifier.urihttps://doi.org/10.1364/OE.26.007955
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5587
dc.language.isoenen_US
dc.publisherOptics expressen_US
dc.subjectNumerical demonstrationen_US
dc.subjectNeuromorphic computingen_US
dc.subjectPhotonic crystal cavitiesen_US
dc.titleNumerical demonstration of neuromorphic computing with photonic crystal cavitiesen_US
dc.typeArticleen_US
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