Binary image classification using collective optical modes of an array of nanolasers
Recent advancements in nanolaser design and manufacturing open up unprecedented perspectives in terms of high integration densities and ultra-low power consumption, making these devices ideal for high-performance optical computing systems. In this work, we exploit the symmetry properties of the coll...
| Autores: | , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/375600 |
| Acesso em linha: | https://hdl.handle.net/2117/375600 https://dx.doi.org/10.1063/5.0100049 |
| Access Level: | acceso abierto |
| Palavra-chave: | Semiconductor lasers Neural networks (Computer science) Binary system (Mathematics) Làsers semiconductors Xarxes neuronals (Informàtica) Sistema binari (Matemàtica) Àrees temàtiques de la UPC::Enginyeria electrònica::Optoelectrònica::Làser Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica::Fotònica |
| Resumo: | Recent advancements in nanolaser design and manufacturing open up unprecedented perspectives in terms of high integration densities and ultra-low power consumption, making these devices ideal for high-performance optical computing systems. In this work, we exploit the symmetry properties of the collective modes of a nanolaser array for a simple binary classification task of small digit images. The implementation is based on a 8 × 8 nanolaser array and relies on the activation of a collective optical mode of the array—the so-called “zero-mode”—under spatially modulated pump patterns. |
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