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Proceedings Paper

Advances in neuromorphic photonics (Conference Presentation)
Author(s): B. J. Shastri; T. Ferreira de Lima; A. N. Tait; B. A. Marquez; H. T. Peng; C. Huang; V. J. Sorger; P. R. Prucnal

Paper Abstract

Neuromorphic photonics is an emerging field at the nexus of photonics and neuroscience, which combines the advantages of optics and electronics. By combining the high bandwidth and efficiency of photonic devices with the reconfigurability and parallelism of optical architectures, photonic processors have the potential to be faster than state-of-the-art electronic processors while consuming less energy per computation. We will look at the traditional challenges of photonic information processing, describe some photonic neural-network approaches, discuss their applications in neuromorphic computing and machine learning, and talk about the scalability of these platforms.

Paper Details

Date Published: 10 March 2020
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Proc. SPIE 11283, Integrated Optics: Devices, Materials, and Technologies XXIV, 1128314 (10 March 2020); doi: 10.1117/12.2554476
Show Author Affiliations
B. J. Shastri, Queen's Univ. (Canada)
Princeton Univ. (United States)
T. Ferreira de Lima, Princeton Univ. (United States)
A. N. Tait, Princeton Univ. (United States)
B. A. Marquez, Queen's Univ. (Canada)
H. T. Peng, Princeton Univ. (United States)
C. Huang, Princeton Univ. (United States)
V. J. Sorger, The George Washington Univ. (United States)
P. R. Prucnal, Princeton Univ. (United States)


Published in SPIE Proceedings Vol. 11283:
Integrated Optics: Devices, Materials, and Technologies XXIV
Sonia M. García-Blanco; Pavel Cheben, Editor(s)

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