Binary image classification using collective optical modes of an array of nanolasers

Autor: Giulio Tirabassi, Kaiwen Ji, Cristina Masoller, Alejandro M. Yacomotti
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: APL Photonics, Vol 7, Iss 9, Pp 090801-090801-11 (2022)
Druh dokumentu: article
ISSN: 2378-0967
DOI: 10.1063/5.0100049
Popis: 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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