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Experimental quantum-enhanced kernel-based machine learning on a photonic processor
A quantum kernel estimation by which feature data points are evaluated through the unitary evolution of two-boson Fock states is experimentally demonstrated on a photonic integrated processor. This model provides enhanced accuracy with respect to commonly used classical methods for several classification tasks.
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