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Quantum Diffusion Models: Score Reversal Is Not Free in Gaussian Dynamics

β˜†β˜†β˜†β˜†β˜†Mar 6, 2026arxiv β†’

Ammar Fayad

Abstract

Diffusion-based generative modeling suggests reversing a noising semigroup by adding a score drift. For continuous-variable Gaussian Markov dynamics, complete positivity couples drift and diffusion at the generator level. For a quantum-limited attenuator with thermal parameter $Ξ½$ and squeezing $r$, the fixed-diffusion Wigner-score (Bayes) reverse drift violates CP iff $\cosh(2r)>Ξ½$. Any Gaussian CP repair must inject extra diffusion, implying $-2\ln F\ge c_{\text{geom}}(Ξ½_{\min})I_{\mathrm{dec}}^{\mathrm{wc}}$.

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