Polaritonic neuromorphic computing outperforms linear classifiers

Polaritonic neuromorphic computing outperforms linear classifiers

Machine learning software applications are ubiquitous in many fields of science and society for their outstanding capability to solve computationally vast problems like the recognition of patterns and regularities in big data sets. In spite of these impressive achievements, such processors are still...

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Bibliographic Details
Main Authors: Ballarini, Dario, Gianfrate, Antonio, Panico, Riccardo, Opala, Andrzej, Ghosh, Sanjib, Dominici, Lorenzo, Ardizzone, Vincenzo, De Giorgi, Milena, Lerario, Giovanni, Gigli, Giuseppe, Liew, Timothy Chi Hin, Matuszewski, Michal, Sanvitto, Daniele
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2020
Subjects:
Science::Physics::Optics and light
Exciton-polaritons
Optical Microcavities
Online Access:https://hdl.handle.net/10356/143433

Internet

https://hdl.handle.net/10356/143433

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