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Communication Dans Un Congrès Année : 2017

Optimizing dynamical states for high-speed photonic computing

Résumé

Photonic neuromorphic computing is the in-tersection of sub nanosecond fluctuations with the perfor-mance and energy efficiency of the human brain. Thesesystems operate based on a nonlinear transformation of in-put streams, and by fully understanding the attractor dy-namics of the transformation it is possible to optimize thesedynamics for a computing task. By optimizing the dynam-ical state of our neural net, we are able to process over 70million digits per second.
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Dates et versions

hal-02481418 , version 1 (17-02-2020)

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  • HAL Id : hal-02481418 , version 1

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Michael Joseph Wishon, Alexandre Locquet, C.Y. Chang, Daeyoung Choi, David S. Citrin. Optimizing dynamical states for high-speed photonic computing. International Symposium on Nonlinear Theory and Its Applications NOLTA 2017, Dec 2017, CANCUN, Mexico. ⟨hal-02481418⟩
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