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Quantum automated theorem proving

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers Zheng-Zhi Sun, Qi Ye, and Dong-Ling Deng introduced a quantum framework for automated theorem proving, leveraging superposition and entanglement to outperform classical methods. Their work marks a significant step toward quantum-enhanced AI reasoning systems. The team demonstrated quadratic speedups in query complexity for propositional and first-order logic using quantum resolution algorithms. This reduces computational overhead for complex logical proofs, offering a tangible advantage over classical approaches. A novel quantum algebraic method extends Wu’s classical approach to geometric theorem proving. Tests on International Mathematical Olympiad problems showed quadratic improvements in efficiency, validating real-world applicability. The framework includes quantum representations of knowledge bases and tailored reasoning algorithms. These innovations could enable near-term quantum devices to tackle practical theorem-proving tasks before full fault tolerance is achieved. The study establishes a foundational approach for quantum automatic theorem provers, bridging AI and quantum computing. Potential applications span mathematics, cryptography, and formal verification in future quantum technologies.
Quantum automated theorem proving

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Quantum Physics arXiv:2601.07953 (quant-ph) [Submitted on 12 Jan 2026] Title:Quantum automated theorem proving Authors:Zheng-Zhi Sun, Qi Ye, Dong-Ling Deng View a PDF of the paper titled Quantum automated theorem proving, by Zheng-Zhi Sun and 2 other authors View PDF HTML (experimental) Abstract:Automated theorem proving, or more broadly automated reasoning, aims at using computer programs to automatically prove or disprove mathematical theorems and logical statements. It takes on an essential role across a vast array of applications and the quest for enhanced theorem-proving capabilities remains a prominent pursuit in artificial intelligence. Here, we propose a generic framework for quantum automated theorem proving, where the intrinsic quantum superposition and entanglement features would lead to potential advantages. In particular, we introduce quantum representations of knowledge bases and propose corresponding reasoning algorithms for a variety of tasks. We show how automated reasoning can be achieved with quantum resolution in both propositional and first-order logic with quadratically reduced query complexity. In addition, we propose the quantum algebraic proving method for geometric theorems, extending Wu's algebraic approach beyond the classical setting. Through concrete examples, including geometry problems from the International Mathematical Olympiad, we demonstrate how a quantum computer may prove geometric theorems with quadratic better query complexity. Our results establish a primary approach towards building quantum automatic theorem provers, which would be crucial for practical applications of both near-term and future quantum technologies. Subjects: Quantum Physics (quant-ph); Artificial Intelligence (cs.AI) Cite as: arXiv:2601.07953 [quant-ph] (or arXiv:2601.07953v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2601.07953 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Zheng-Zhi Sun [view email] [v1] Mon, 12 Jan 2026 19:39:33 UTC (8,469 KB) Full-text links: Access Paper: View a PDF of the paper titled Quantum automated theorem proving, by Zheng-Zhi Sun and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-01 Change to browse by: cs cs.AI 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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Source: arXiv Quantum Physics