Binary image classification using collective optical modes of an array of nanolasers
Giulio Tirabassi, Kaiwen Ji, Cristina Masoller, Alejandro M. Yacomotti · APL Photonics · 2022
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.