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...
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: | |
Online Access: | https://hdl.handle.net/10356/154197 |
Similar Items
-
Inverted optical bistability and optical limiting in coherently driven exciton–polaritons
by: M. Furman, et al.
Published: (2023-04-01) -
Nonlinear parametric scattering of exciton polaritons in perovskite microcavities
by: Wu, Jinqi, et al.
Published: (2022) -
Exciton-exciton annihilation in organic polariton microcavities
by: Akselrod, G. M., et al.
Published: (2021) -
Energy relaxation of exciton-polariton condensates in quasi-one-dimensional microcavities
by: Liew, Timothy Chi Hin, et al.
Published: (2014) -
Motion of Spin Polariton Bullets in Semiconductor Microcavities
by: Adrados, C., et al.
Published: (2017)