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Weighted Projective Line ZX Calculus: Quantized Orbifold Geometry for Quantum Compilation

Gunhee Cho, Jason Cheng, Evelyn Li
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Researchers Gunhee Cho, Jason Cheng, and Evelyn Li introduced a geometric framework for quantum circuit compilation using quantized orbifold phases, addressing hardware-specific phase resolution and noise constraints. Their work extends the ZX-calculus with weighted projective line geometry, where orbifold points model discrete phase grids and monodromy tracks phase winding under noise. The team developed the WPL-ZX calculus, assigning each spider a weight-phase-winding triple, and proved LCM-based fusion rules while deriving curvature predictors for phase-grid compatibility. A new algorithm, Weighted ZX Circuit Compression (WZCC), optimizes circuits on heterogeneous phase lattices, improving efficiency for hardware with anisotropic constraints. For fault tolerance, they proposed Monodromy-Aware Surface-Code Decoding (MASD), enhancing decoder robustness by incorporating orbifold-weighted edge costs in syndrome graphs.
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Quantum Physics arXiv:2512.00682 (quant-ph) [Submitted on 30 Nov 2025] Title:Weighted Projective Line ZX Calculus: Quantized Orbifold Geometry for Quantum Compilation Authors:Gunhee Cho, Jason Cheng, Evelyn Li View a PDF of the paper titled Weighted Projective Line ZX Calculus: Quantized Orbifold Geometry for Quantum Compilation, by Gunhee Cho and 2 other authors View PDF HTML (experimental) Abstract:We develop a unified geometric framework for quantum circuit compilation based on quantized orbifold phases and their diagrammatic semantics. Physical qubit platforms impose heterogeneous phase resolutions, anisotropic Bloch-ball contractions, and hardware-dependent $2\pi$ winding behavior. We show that these effects admit a natural description on the weighted projective line $\mathbb{P}(a,b)$, whose orbifold points encode discrete phase grids and whose monodromy captures winding accumulation under realistic noise channels. Building on this geometry, we introduce the WPL--ZX calculus, an extension of the standard ZX formalism in which each spider carries a weight--phase--winding triple $(a,\alpha,k)$. We prove soundness of LCM-based fusion and normalization rules, derive curvature predictors for phase-grid compatibility, and present the Weighted ZX Circuit Compression (WZCC) algorithm, which performs geometry-aware optimization on heterogeneous phase lattices. To connect circuit-level structure with fault-tolerant architectures, we introduce Monodromy-Aware Surface-Code Decoding (MASD), a winding-regularized modification of minimum-weight matching on syndrome graphs. MASD incorporates orbifold-weighted edge costs, producing monotone decoder-risk metrics and improved robustness across phase-quantized noise models. All results are validated through symbolic and numerical simulations, demonstrating that quantized orbifold geometry provides a coherent and hardware-relevant extension of diagrammatic quantum compilation. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2512.00682 [quant-ph] (or arXiv:2512.00682v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2512.00682 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Gunhee (Geonhee) Cho [view email] [v1] Sun, 30 Nov 2025 00:56:39 UTC (561 KB) Full-text links: Access Paper: View a PDF of the paper titled Weighted Projective Line ZX Calculus: Quantized Orbifold Geometry for Quantum Compilation, by Gunhee Cho and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-12 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?) Links to Code Toggle Papers with Code (What is Papers with Code?) 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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