| Authors: | F. Laporte, A. Katumba, J. Dambre, P. Bienstman | | Title: | Numerical demonstration of neuromorphic computing with photonic crystal cavities | | Format: | International Journal | | Publication date: | 4/2018 | | Journal/Conference/Book: | Optics Express
| | Editor/Publisher: | OSA, | | Volume(Issue): | 26(7) p.7955-7964 | | DOI: | 10.1364/OE.26.007955 | | Citations: | 68 (Dimensions.ai - last update: 15/12/2024)
51 (OpenCitations - last update: 27/6/2024)
Look up on Google Scholar
| | Download: |
 (8.3MB) |
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. 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. Related Research Topics
Related Projects
|
|
|
|
|
Citations (OpenCitations)
|
|
