Energy-efficient neural network inference with microcavity exciton polaritons

• 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: Article
• Language: English
• Published: 2021
• Subjects: Science::Physics; Artificial-Intelligence; Classification
• Online Access: https://hdl.handle.net/10356/154197
• Institution: Nanyang Technological University

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...