GaAs-waveguide-based optical neural network device architecture

Neelam Gupta; John T. Pham

doi:10.1117/12.147082

1 July 1993 GaAs-waveguide-based optical neural network device architecture

Neelam Gupta, John T. Pham

Proceedings Volume 1849, Optoelectronic Interconnects; (1993) https://doi.org/10.1117/12.147082
Event: OE/LASE'93: Optics, Electro-Optics, and Laser Applications in Scienceand Engineering, 1993, Los Angeles, CA, United States

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.

Citation Download Citation

Neelam Gupta and John T. Pham "GaAs-waveguide-based optical neural network device architecture", Proc. SPIE 1849, Optoelectronic Interconnects, (1 July 1993); https://doi.org/10.1117/12.147082

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