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.

Stimulated-emission training of a photonic quantum extreme learning machine

Emanuele Brusaschi;Marco Clementi;Marco Liscidini;Matteo Galli;Daniele Bajoni;Massimo Borghi
2026-01-01

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.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1555896
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact