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

Ammar Fayad
3/6/2026
quant-phcs.LGmath-ph

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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 $ν$ and squeezing $r$, the fixed-diffusion Wigner-score (Bayes) reverse drift violates CP iff $\cosh(2r)>ν$. Any Gaussian CP repair must inject extra diffusion, implying $-2\ln F\ge c_{\text{geom}}(ν_{\min})I_{\mathrm{dec}}^{\mathrm{wc}}$.

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Cite this paper

@article{fayad2026quantum,
  title  = {Quantum Diffusion Models: Score Reversal Is Not Free in Gaussian Dynamics},
  author = {Ammar Fayad},
  year   = {2026},
  eprint = {2603.06488},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2603.06488v1}
}

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