A Gaussian photonic QELM with displacement encoding and quadrature/photon-number readout produces polynomial features that, under a linear readout, match or beat small MLPs on top-jet and Higgs classification.
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Continuous-variable photonic quantum extreme learning machines for fast collider-data selection
A Gaussian photonic QELM with displacement encoding and quadrature/photon-number readout produces polynomial features that, under a linear readout, match or beat small MLPs on top-jet and Higgs classification.