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Parity Floors in Quantum Denoisers: A Closed-Form Benchmark for Fixed-Map Denoising Networks

Jaeuk Kim
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--> Quantum Physics arXiv:2608.12712 (quant-ph) [Submitted on 13 Aug 2026] Title:Parity Floors in Quantum Denoisers: A Closed-Form Benchmark for Fixed-Map Denoising Networks Authors:Jaeuk Kim View a PDF of the paper titled Parity Floors in Quantum Denoisers: A Closed-Form Benchmark for Fixed-Map Denoising Networks, by Jaeuk Kim View PDF HTML (experimental) Abstract:Fixed quantum feature maps are increasingly inserted into diffusion denoisers, but standard image benchmarks do not reveal which structural constraint limits them. We introduce CoupledPhaseTexture, a torus-diffusion benchmark with analytic heat-kernel noising that separates parity, within-sector approximation, and sample-complexity limitations.
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Quantum Physics arXiv:2608.12712 (quant-ph) [Submitted on 13 Aug 2026] Title:Parity Floors in Quantum Denoisers: A Closed-Form Benchmark for Fixed-Map Denoising Networks Authors:Jaeuk Kim View a PDF of the paper titled Parity Floors in Quantum Denoisers: A Closed-Form Benchmark for Fixed-Map Denoising Networks, by Jaeuk Kim View PDF HTML (experimental) Abstract:Fixed quantum feature maps are increasingly inserted into diffusion denoisers, but standard image benchmarks do not reveal which structural constraint limits them. We introduce CoupledPhaseTexture, a torus-diffusion benchmark with analytic heat-kernel noising that separates parity, within-sector approximation, and sample-complexity limitations. For the depth-1 RY+CNOT+Pauli-Z family we prove a containment-free parity floor: all reachable features are even functions of the encoded angles while the sine components of the Bayes denoiser are odd, so the excess risk splits exactly into an inaccessible odd part and a within-sector residual. The first term is an irreducible, noise-scale-resolved lower bound holding for every even feature class, with no containment, linearity, or closedness assumption on the feature class. The obstruction is a property of the noise-conditioned denoising target rather than static representability: the floor is re-derived at each noise scale because the target's parity content changes with noise. The measured excess is dominated by the parity proxy on two distinct priors. Higher-order Z readouts improve the even sector, but entanglement does not lower the floor and re-uploading does not reliably close it. Classical controls confirm the deficit is parity rather than quantumness: a cosine-only bank is floored similarly, while adding the sine sector matches the reference. Among tested constructions, odd readouts and a noise-coupled encoder do not match the sine-carrying classical bank. These results motivate nonclassical data access or feature classes without efficient classical surrogates; they do not establish either as sufficient for quantum advantage. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.12712 [quant-ph] (or arXiv:2608.12712v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2608.12712 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jaeuk Kim [view email] [v1] Thu, 13 Aug 2026 01:53:58 UTC (46 KB) Full-text links: Access Paper: View a PDF of the paper titled Parity Floors in Quantum Denoisers: A Closed-Form Benchmark for Fixed-Map Denoising Networks, by Jaeuk KimView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-08 References & Citations INSPIRE HEP NASA ADSGoogle Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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