title: Excitable laser processing network node in hybrid silicon: analysis and simulation.
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.
authors.forename: Mitchell A
authors.initials: MA
authors.lastname: Nahmias
authors.forename: Alexander N
authors.initials: AN
authors.lastname: Tait
authors.forename: Bhavin J
authors.initials: BJ
authors.lastname: Shastri
authors.forename: Thomas Ferreira
authors.initials: TF
authors.lastname: de Lima
authors.forename: Paul R
authors.initials: PR
authors.lastname: Prucnal