Energy-efficient neural network inference with microcavity exciton polaritons

Energy-efficient neural network inference with microcavity exciton polaritons

We propose all-optical neural networks characterized by very high energy efficiency and performance density of inference. We argue that the use of microcavity exciton-polaritons allows to take advantage of the properties of both photons and electrons in a seamless manner. This results in strong o...

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Bibliographic Details
Main Authors: Matuszewski. M., Opala, A., Mirek, R., Furman, M., Król, M., Tyszka, K., Liew, Timothy Chi Hin, Ballarini, D., Sanvitto, D., Szczytko, J., Piętka, B.
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2021
Subjects:
Science::Physics
Artificial-Intelligence
Classification
Online Access:https://hdl.handle.net/10356/154197

Internet

https://hdl.handle.net/10356/154197

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