Deep learning with coherent nanophotonic circuits
Yichen Shen,Nicholas C. Harris,Scott Skirlo,Dirk Englund,Marin Soljacic +4 more
- Vol. 11, Iss: 7, pp 441-446
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TLDR
A new architecture for a fully optical neural network is demonstrated that enables a computational speed enhancement of at least two orders of magnitude and three order of magnitude in power efficiency over state-of-the-art electronics.Abstract:
Artificial Neural Networks have dramatically improved performance for many machine learning tasks. We demonstrate a new architecture for a fully optical neural network that enables a computational speed enhancement of at least two orders of magnitude and three orders of magnitude in power efficiency over state-of-the-art electronics.read more
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Entangled and correlated photon mixed strategy for social decision making
Shion Maeda,Nicolas Chauvet,Hayato Saigo,Hirokazu Hori,Guillaume Bachelier,Serge Huant,Makoto Naruse +6 more
TL;DR: This study paves the way for utilizing both quantum and classical aspects of photons in a mixed manner for decision making and provides yet another example of the supremacy of mixed strategies known in game theory, especially in evolutionary game theory.
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Programming Nonlinear Propagation for Efficient Optical Learning Machines
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A Review: Neural-Inspired Photonic Functional Systems for Dynamic RF Signal Processing
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References
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