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.
Highlights
There has been a surge of interest in the hybridization of photonic and electronic physics to achieve unique processing capabilities
We describe the photonic circuit techniques used in our approach and simulate the device based on experimentally measured parameters in a standard hybrid III-V/silicon platform [16]
We have investigated a device that can act as a node in an ultrafast photonic neural network, using a computational model that fully exploits the temporal resolution of optical signals
Summary
There has been a surge of interest in the hybridization of photonic and electronic physics to achieve unique processing capabilities. In this context, there has been significant research in using laser dynamics for both information processing [1,2,3] and communication [4,5]. Excitable lasers can process information in a way that resembles spiking in biological neuron models. Shifts in the transverse profile modulate direction. The e↵ective index Because of the tight acloonnfigCnpe$t=mh$1ee.5nmpt Foa$dlounlagttiohne transverse dirReSci$t=i$o6n4s0,MwΩe$ can approximate a threedNph[j] dt aRgag$(=n$a7[j.5] Ω$n0a)NSip#h[j]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
