Version 1
: Received: 27 February 2021 / Approved: 1 March 2021 / Online: 1 March 2021 (14:56:09 CET)
How to cite:
Tan, M.; Xu, X.; Moss, D. Time Wavelength Interleaving Perceptron at 12 Giga-Ops/s with a Kerr Soliton Crystal Microcomb for Optical Neural Networks. Preprints2021, 2021030033. https://doi.org/10.20944/preprints202103.0033.v1
Tan, M.; Xu, X.; Moss, D. Time Wavelength Interleaving Perceptron at 12 Giga-Ops/s with a Kerr Soliton Crystal Microcomb for Optical Neural Networks. Preprints 2021, 2021030033. https://doi.org/10.20944/preprints202103.0033.v1
Tan, M.; Xu, X.; Moss, D. Time Wavelength Interleaving Perceptron at 12 Giga-Ops/s with a Kerr Soliton Crystal Microcomb for Optical Neural Networks. Preprints2021, 2021030033. https://doi.org/10.20944/preprints202103.0033.v1
APA Style
Tan, M., Xu, X., & Moss, D. (2021). Time Wavelength Interleaving Perceptron at 12 Giga-Ops/s with a Kerr Soliton Crystal Microcomb for Optical Neural Networks. Preprints. https://doi.org/10.20944/preprints202103.0033.v1
Chicago/Turabian Style
Tan, M., Xingyuan Xu and David Moss. 2021 "Time Wavelength Interleaving Perceptron at 12 Giga-Ops/s with a Kerr Soliton Crystal Microcomb for Optical Neural Networks" Preprints. https://doi.org/10.20944/preprints202103.0033.v1
Abstract
Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency. We report a novel approach to ONNs that uses integrated Kerr optical micro-combs. This approach is programmable and scalable and is capable of reaching ultra-high speeds. We demonstrate the basic building block ONNs — a single neuron perceptron — by mapping synapses onto 49 wavelengths to achieve an operating speed of 11.9 x 109 operations per second, or Giga-OPS, at 8 bits per operation, which equates to 95.2 gigabits/s (Gbps). We test the perceptron on handwritten-digit recognition and cancer-cell detection — achieving over 90% and 85% accuracy, respectively. By scaling the perceptron to a deep learning network using off-the-shelf telecom technology we can achieve high throughput operation for matrix multiplication for real-time massive data processing.
Keywords
microcombs; optical neural networks; perceptron
Subject
Engineering, Automotive Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
