Laporte, FlorisKatumba, AndrewDambre, JoniBienstman, Peter2022-11-302022-11-302018Laporte, 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.26.007955https://doi.org/10.1364/OE.26.007955https://nru.uncst.go.ug/handle/123456789/5587We 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.enNumerical demonstrationNeuromorphic computingPhotonic crystal cavitiesArticle