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Article Dans Une Revue APL Photonics Année : 2022

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

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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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Giulio Tirabassi, Kaiwen Ji, Cristina Masoller, Alejandro Yacomotti. Binary image classification using collective optical modes of an array of nanolasers. APL Photonics, 2022, 7 (9), pp.090801. ⟨10.1063/5.0100049⟩. ⟨hal-03872968⟩
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