Coincidence-based QELMs outperform intensity-based ones on a 0/1 MNIST task, and simulations predict that indistinguishable photons give a growing expressivity advantage as photon number increases, though the 2-photon experiment shows no accuracy advantage.
Ex- treme learning machine: Theory and applications.Neurocom- puting, 70(1):489–501, December 2006
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Harnessing Photon Indistinguishability in Quantum Extreme Learning Machines
Coincidence-based QELMs outperform intensity-based ones on a 0/1 MNIST task, and simulations predict that indistinguishable photons give a growing expressivity advantage as photon number increases, though the 2-photon experiment shows no accuracy advantage.