Binary image classification using collective optical modes of an array of nanolasers
Giulio Tirabassi,
Kaiwen Ji,
Cristina Masoller,
Alejandro M. Yacomotti
Affiliations
Giulio Tirabassi
Departament de Fisica, Universitat Politecnica de Catalunya, Rambla Sant Nebridi 22, 08222 Terrassa, Barcelona, Spain
Kaiwen Ji
Centre de Nanosciences et de Nanotechnologies, CNRS, Universite Paris-Sud, Université Paris-Saclay, 10 Boulevard Thomas Gobert, 91120 Palaiseau, France
Cristina Masoller
Departament de Fisica, Universitat Politecnica de Catalunya, Rambla Sant Nebridi 22, 08222 Terrassa, Barcelona, Spain
Alejandro M. Yacomotti
Centre de Nanosciences et de Nanotechnologies, CNRS, Universite Paris-Sud, Université Paris-Saclay, 10 Boulevard Thomas Gobert, 91120 Palaiseau, France
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.
