A single-step quantum generative model based on classical noise reuploading achieves higher efficiency and quality than previous multi-step methods by directly sampling classical noise.
Cuturi, Sinkhorn distances: Lightspeed computation of optimal transport, Advances in neural information pro- cessing systems26(2013)
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Generation via Classical Noise Reuploading
A single-step quantum generative model based on classical noise reuploading achieves higher efficiency and quality than previous multi-step methods by directly sampling classical noise.