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arXiv · 2202.05171

Image classification using collective optical modes of an array of nanolasers

Giulio Tirabassi·Ji Kaiwen·Cristina Masoller·Alejandro M. Yacomotti
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Abstract

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 binary image classification. The implementation is based on a 8x8 array, and relies on the activation of a collective optical mode of the array, the so-called "zero mode", under spatially modulated pump patterns. We demonstrate that a simple training strategy allows us to achieve an overall success rate of 98% in binary image recognition.

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Giulio Tirabassi, Ji Kaiwen, Cristina Masoller, Alejandro M. Yacomotti. 2022-02-09. Image classification using collective optical modes of an array of nanolasers. https://doi.org/10.1063/5.0100049

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