Experimental demonstration of a quantum generative adversarial network for continuous distributions

University of Toronto, Zapata Computing & the Canadian Institute for Advanced Research

A hybrid architecture for QGANs with various noise models ran on a quantum processor showed that simulations and results on hardware remain more impervious to noise than standard QGAN counterparts.

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