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Physics inspired quantum algorithm for QCD splitting functions

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers introduced a quantum circuit primitive to model entanglement in QCD parton splitting, creating a physics-consistent framework for event generation. The modular design allows composable building blocks for quantum-native simulations. For gluon splitting, they derived an analytic expression for helicity entanglement and built a two-qubit circuit reproducing QCD-predicted entanglement while encoding momentum-sharing data. Circuit parameters align with LHC jet substructure measurements. Multi-prong momentum distributions were validated against experimental data, showing strong agreement for three- and four-prong configurations. This bridges quantum simulation with real-world particle physics observations. The team executed the three-prong circuit on superconducting quantum hardware, achieving results matching simulations after quality cuts. Low qubit count and shallow depth enabled practical near-term implementation. This work establishes a foundation for quantum-enhanced parton-shower algorithms, offering physics-informed ansätze for future QCD simulations while preserving quantum correlations in splitting dynamics.
Physics inspired quantum algorithm for QCD splitting functions

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Quantum Physics arXiv:2605.06789 (quant-ph) [Submitted on 7 May 2026] Title:Physics inspired quantum algorithm for QCD splitting functions Authors:Gabriel Rouxinol, Yacine Haddad, Cenk Tüysüz, Sofia Vallecorsa, Michele Grossi View a PDF of the paper titled Physics inspired quantum algorithm for QCD splitting functions, by Gabriel Rouxinol and 3 other authors View PDF Abstract:We introduce a modular quantum circuit primitive to model entanglement dynamics in QCD parton splitting and use it as a composable building block for data-driven, physics-consistent event generation. For the pure-gluon channel, we derive an analytic expression for the helicity entanglement generated at the splitting vertex, quantified via the concurrence, and construct a two-qubit circuit whose measurement outcomes encode the momentum shared between outgoing gluons while reproducing the QCD-predicted entanglement structure. Calibrating the circuit parameters to LHC jet substructure data maps, reconstructed momentum-sharing fractions are directly related to circuit rotation angles. Composing multiple splitting primitives yields multi-prong momentum-fraction distributions; we validate the three- and four-prong cases against experimental data and find good agreement. For the three-prong configuration, we execute the circuit on superconducting quantum hardware and obtain results consistent with simulation after standard quality cuts, enabled by the low qubit count and shallow circuit depth. This work provides a concrete framework for quantum-native parton-shower modules that encode quantum correlations at the level of splitting dynamics, and offers physics-informed ansätze for future quantum algorithms for QCD. Comments: Subjects: Quantum Physics (quant-ph); High Energy Physics - Phenomenology (hep-ph); High Energy Physics - Theory (hep-th) Cite as: arXiv:2605.06789 [quant-ph] (or arXiv:2605.06789v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.06789 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Gabriel Rouxinol [view email] [v1] Thu, 7 May 2026 18:00:08 UTC (1,047 KB) Full-text links: Access Paper: View a PDF of the paper titled Physics inspired quantum algorithm for QCD splitting functions, by Gabriel Rouxinol and 3 other authorsView PDFTeX Source view license Current browse context: quant-ph new | recent | 2026-05 Change to browse by: hep-ph hep-th 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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superconducting-qubits
energy-climate
quantum-algorithms
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Source: arXiv Quantum Physics