Paper
28 September 2023 Brain-inspired nanophotonic spike-based devices for neuromorphic light-emitting and sensing AI applications
B. Jacob, M. Hejda, W. Zhang, A. Hurtado, B. Romeira
Author Affiliations +
Abstract
Despite remarkable advances in neuromorphic photonics, nanophotonic devices enabling neuron-like spiking emission and detection—needed for spike-based computation—are still at an early stage of development. Here, we present recent achievements on a photonic neuro-architecture based on III–V integrated spiking circuit nodes using nanoscale quantum resonant tunneling diodes (nanoRTDs) with negative differential resistance. We discuss the integration of nanoRTDs with nano-photodetectors (nanoPDs), nano-light-emitting diodes (nanoLEDs) and other light sources (e.g., VCSELs), to realize on-chip sensory neuron emitter and receiver spiking nodes. The RTD-based nanophotonic neuron devices and circuits for sensing and spike processing multi-functionalities pave the way for energy-efficient signal processing and sensory neuromorphic systems in edge computing AI applications.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
B. Jacob, M. Hejda, W. Zhang, A. Hurtado, and B. Romeira "Brain-inspired nanophotonic spike-based devices for neuromorphic light-emitting and sensing AI applications", Proc. SPIE 12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, 126550B (28 September 2023); https://doi.org/10.1117/12.2676707
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KEYWORDS
Neurons

Nanophotonics

Quantum nanophotonics

Quantum photonics

Diodes

Artificial intelligence

Integrated optics

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