Stimulated-emission training of a photonic quantum extreme learning machine

Emanuele Brusaschi, Marco Clementi, Marco Liscidini, Mattéo Galli, Daniele Bajoni, Massimo Borghi

Published Jan 1, 2026• 0 citations

Abstract

We present a photonic quantum extreme learning machine trained solely with classical light, achieving 93% accuracy in predicting quantum entanglement. This classical trained scheme accelerates learning and increases signal-to-noise ratio by two orders of magnitude.

DOI: 10.1364/cleo_fs.2026.fth4a.4

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