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Physics-inspired Generative AI models via real hardware-based noisy quantum diffusion

Parigi, Marco et al.
arXiv (All) · Papers
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68q1268t07computer-vision-and-pattern-recognitiondisordered-systems-and-neural-networksi-2-6machine-learningquantum-physics
Quantum Diffusion Models (QDMs) are an emerging paradigm in Generative AI that aims to use quantum properties to improve the performances of their classical counterparts. However, existing algorithms are not easily scalable due to the limitations of near-term quantum devices. Following our previous
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