# Image classification using collective optical modes of an array of nanolasers

Source: [Image classification using collective optical modes of an array of nanolasers](<https://www.sota2.com/research/paper/68fa47331e209131ce92625f>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-25T06:12:15.305Z

Authors: Giulio Tirabassi, Ji Kaiwen, Cristina Masoller, Alejandro M. Yacomotti

Published: 2022-02-09T15:59:04.000Z

## 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.

## Recorded benchmark results

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## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2202.05171>)

[PDF](<https://arxiv.org/pdf/2202.05171.pdf>)