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Excitable laser processing network node in hybrid silicon: Analysis and simulation

Author(s): Nahmias, MA; Tait, AN; Shastri, BJ; De Lima, TF; Prucnal, Paul R

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Abstract: The combination of ultrafast laser dynamics and dense on-chip multiwavelength networking could potentially address new domains of real-time signal processing that require both speed and complexity. We present a physically realistic optoelectronic simulation model of a circuit for dynamical laser neural networks and verify its behavior. We describe the physics, dynamics, and parasitics of one network node, which includes a bank of filters, a photodetector, and excitable laser. This unconventional circuit exhibits both cascadability and fan-in, critical properties for the large-scale networking of information processors based on laser excitability. In addition, it can be instantiated on a photonic integrated circuit platform and requires no off-chip optical I/O. Our proposed processing system could find use in emerging applications, including cognitive radio and low-latency control.
Publication Date: 2-Oct-2015
Electronic Publication Date: 2-Oct-2015
Citation: Nahmias, MA, Tait, AN, Shastri, BJ, De Lima, TF, Prucnal, PR. (2015). Excitable laser processing network node in hybrid silicon: Analysis and simulation. Optics Express, 23 (26800 - 26813. doi:10.1364/OE.23.026800
DOI: doi:10.1364/OE.23.026800
Pages: 26800 - 26813
Type of Material: Journal Article
Journal/Proceeding Title: Optics Express
Version: Final published version. This is an open access article.

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