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Proceedings Paper

GaAs-waveguide-based optical neural network device architecture
Author(s): Neelam Gupta; John T. Pham
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Paper Abstract

We propose a monolithic implementation of a feed-forward neural network in AlGaAs/GaAs waveguide material with a Wannier-Stark superlattice in the core. Adjustable weights are applied with the use of voltage-controlled below-bandgap intensity modulators. Nonlinear thresholding is performed with the use of a saturable absorber component. A 2-to-1 single neuron device was fabricated by integrating two 25 dB/mm modulators and a 25 dB nonlinear switch. The device performed with an output/input range ratio of 25 dB using two 780 nm laser diodes.

Paper Details

Date Published: 1 July 1993
PDF: 7 pages
Proc. SPIE 1849, Optoelectronic Interconnects, (1 July 1993); doi: 10.1117/12.147082
Show Author Affiliations
Neelam Gupta, Army Research Lab. (United States)
John T. Pham, Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 1849:
Optoelectronic Interconnects
Ray T. Chen, Editor(s)

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