Photonic quantum generative models can be trained classically via maximum mean discrepancy, with deployment corresponding to boson sampling.
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Efficient training of photonic quantum generative models
Photonic quantum generative models can be trained classically via maximum mean discrepancy, with deployment corresponding to boson sampling.