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Control-centric quantum noise spectroscopy of time-ordered polyspectra

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers introduced a control-centric approach to quantum noise spectroscopy, shifting focus to time-ordered polyspectra to improve noise characterization in open quantum systems. This method enhances practical applicability by addressing real-world control constraints. The new framework eliminates time-ordering constraints on control filter functions, enabling more flexible noise correlation analysis. This breakthrough allows seamless integration with frequency-comb protocols without requiring additional control symmetries. Simulations demonstrate successful reconstruction of time-ordered polyspectra in both classical Gaussian and quantum non-Gaussian environments. The approach proves effective even in typically challenging noise scenarios. The method maintains model-agnostic capabilities while improving estimation accuracy in pathological cases. This advancement supports higher-fidelity quantum control for computing and sensing applications. Published in April 2026, the work by Steven et al. provides a generalizable solution for noise spectroscopy under realistic experimental conditions. The technique could accelerate progress in quantum error mitigation.
Control-centric quantum noise spectroscopy of time-ordered polyspectra

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Quantum Physics arXiv:2604.07682 (quant-ph) [Submitted on 9 Apr 2026] Title:Control-centric quantum noise spectroscopy of time-ordered polyspectra Authors:Kaiah Steven, Elliot Coupe, Qi Yu, Gerardo A. Paz-Silva View a PDF of the paper titled Control-centric quantum noise spectroscopy of time-ordered polyspectra, by Kaiah Steven and 3 other authors View PDF HTML (experimental) Abstract:Precise environmental-noise characterisation in open quantum systems is a key step toward high-fidelity quantum control and targeted decoherence suppression in computing and sensing applications. Non-parametric quantum noise spectroscopy (QNS) provides a general-purpose, model-agnostic framework for estimating the spectral properties of an environment. The ability to perform such protocols under realistic constraints is key to their practical applicability. Notably, it is important to account for control constraints and understand how they limit the ability to learn about noise correlations as experiment-agnostic objects. We show how adopting a control-centric point of view allows one to recast the noise spectroscopy problem in such a way that (i) the central objects are now the time-ordered polyspectra, (ii) control filter functions are no longer encumbered by time-ordering. In particular, we show that this approach enables the seamless generalisation of frequency-comb QNS protocols to arbitrary control scenarios without introducing additional control symmetries that effectively remove time-ordering from filter functions, improving estimation in typically pathological scenarios. We demonstrate the targeted reconstruction of the time-ordered polyspectra across classical Gaussian and quantum non-Gaussian environments via simulations. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2604.07682 [quant-ph] (or arXiv:2604.07682v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2604.07682 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Kaiah Steven Mr [view email] [v1] Thu, 9 Apr 2026 01:02:14 UTC (7,067 KB) Full-text links: Access Paper: View a PDF of the paper titled Control-centric quantum noise spectroscopy of time-ordered polyspectra, by Kaiah Steven and 3 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-04 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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Source: arXiv Quantum Physics