Quantum Speed Limit under Calibration Uncertainty
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Quantum Physics arXiv:2605.27423 (quant-ph) [Submitted on 19 May 2026] Title:Quantum Speed Limit under Calibration Uncertainty Authors:Salman Sajad Wani, Saif Al-Kuwari View a PDF of the paper titled Quantum Speed Limit under Calibration Uncertainty, by Salman Sajad Wani and 1 other authors View PDF HTML (experimental) Abstract:Standard quantum speed limits presuppose exactly known parameters, overestimating operational speed under calibration uncertainty. We introduce a projected speed limit based on the quantum Fisher information that profiles out these nuisance parameters on a quotient manifold. We derive constructive bounds for general Markovian evolution using sensitivity equations. Applying this to Jaynes--Cummings sensors, we obtain explicit detuning tolerances and quantify speed limits arising from field-dependent Purcell loss. This framework turns geometric bounds into concrete design rules for calibration and interrogation time. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.27423 [quant-ph] (or arXiv:2605.27423v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.27423 Focus to learn more arXiv-issued DOI via DataCite Related DOI: https://doi.org/10.1103/w99p-3svb Focus to learn more DOI(s) linking to related resources Submission history From: Salman Wani Mr [view email] [v1] Tue, 19 May 2026 18:02:30 UTC (152 KB) Full-text links: Access Paper: View a PDF of the paper titled Quantum Speed Limit under Calibration Uncertainty, by Salman Sajad Wani and 1 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-05 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?)