QMClaw: A Scalable General-purpose Framework for Quantum Measurement and Control

Quantum Physics arXiv:2609.04674 (quant-ph) [Submitted on 4 Sep 2026] Title:QMClaw: A Scalable General-purpose Framework for Quantum Measurement and Control Authors:Zhiqiang Fan, Haoran He, Ping Lv, Junchao Wang, Yaqiang Sun, Chenhui Wang, Hanshi Zhao, Geyuyan Ma, Haoran Yang, Pengyu Han, Xiangdong Meng, Lixin Wang, Feng Yue, Weilong Wang, Zheng Shan View a PDF of the paper titled QMClaw: A Scalable General-purpose Framework for Quantum Measurement and Control, by Zhiqiang Fan and 14 other authors View PDF HTML (experimental) Abstract:As quantum computing continues to scale, quantum measurement and control (QMC) are increasingly constrained by calibration workflow complexity and by requirements for low-latency execution, robust exception handling, and traceable workflow governance. Existing frameworks for QMC are specialized and task-specific, while language-model-based agents for QMC suffer from excessive latency and cannot satisfy the strict timing and control-density demands of large-scale quantum systems. Here we propose QMClaw, a general, workflow-oriented framework for QMC built, featuring a local-first, tool-governed, robust architecture. At its core is a RuleEngine-centered control layer that processes structured context, performs rule-based state transitions, and generates execution plans for typical calibration workflows. Language models are used only for natural-language interaction, high-level task understanding, and exception support, keeping the critical fast path efficient. We implement a single qubit tune-up workflow as a demonstration and validation using real quantum device dataset. We also prove that the framework achieves quantitatively acceptable levels in terms of resource cost, LLM calling times and decision latency, enabling its practical deployment in large-scale quantum qubit measurement and control scenarios. This work presents a general workflow-oriented framework for QMC and provides evidence that rule-centered architectures are a promising design choice for scalable quantum-system calibration. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2609.04674 [quant-ph] (or arXiv:2609.04674v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2609.04674 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Zhiqiang Fan [view email] [v1] Fri, 4 Sep 2026 03:07:25 UTC (15,419 KB) Full-text links: Access Paper: View a PDF of the paper titled QMClaw: A Scalable General-purpose Framework for Quantum Measurement and Control, by Zhiqiang Fan and 14 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-09 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?)