Noise-resilient and high-speed deep learning with coherent silicon photonics
The challenge of high-speed and high-accuracy coherent photonic neurons for deep learning applications lies to solve noise related issues. Here, Mourgias-Alexandris et al. address this problem by introducing a noise-resilient hardware architectural and a deep learning training platform.
Bibliographic Details
| Main Authors: |
G. Mourgias-Alexandris,
M. Moralis-Pegios,
A. Tsakyridis,
S. Simos,
G. Dabos,
A. Totovic,
N. Passalis,
M. Kirtas,
T. Rutirawut,
F. Y. Gardes,
A. Tefas,
N. Pleros |
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| Format: | Article
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| Language: | English |
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| Published: |
Nature Portfolio
2022-09-01
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| Series: | Nature Communications
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| Online Access: | https://doi.org/10.1038/s41467-022-33259-z
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