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Closed-Loop Phase-Coherence Compensation for Superconducting Qubits Integrated Computational and Hardware Validation of the Aurora Method

Futoshi Hamanoue
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⚡ Quantum Brief
Researchers introduced Aurora-DD, a novel phase-coherence compensation method combining sign-based feedback with XY8 dynamical decoupling for superconducting qubits. The hybrid approach optimizes global phase offsets offline before hardware deployment. Emulator tests using IBM’s ibm_fez parameters showed 68–97% error reduction in expectation values across 30 trials, proving Aurora-DD’s stability in suppressing dephasing and phase bias under varied conditions. Hardware validation on ibm_fez demonstrated near-total error suppression (99.2–99.6%) compared to no-decoupling baselines, though limited to three trials due to resource constraints. The study rejected Aurora+ZNE, an alternative branch using zero-noise extrapolation, after it produced unstable results, including error outliers from calibration inconsistencies. This "offline closed-loop, online open-loop" method offers a practical, hardware-compatible solution for NISQ-era single-qubit coherence challenges.
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Quantum Physics arXiv:2511.20741 (quant-ph) [Submitted on 25 Nov 2025] Title:Closed-Loop Phase-Coherence Compensation for Superconducting Qubits Integrated Computational and Hardware Validation of the Aurora Method Authors:Futoshi Hamanoue View a PDF of the paper titled Closed-Loop Phase-Coherence Compensation for Superconducting Qubits Integrated Computational and Hardware Validation of the Aurora Method, by Futoshi Hamanoue View PDF HTML (experimental) Abstract:We present an emulator-based and hardware feasibility study of Aurora-DD, a phase-coherence compensation method that integrates a sign-based feedback update of a global phase offset (Delta phi) with a fixed-depth XY8 dynamical decoupling (DD) scaffold. The feedback optimization is performed offline on a calibrated emulator and the resulting Delta phi* is deployed as pre-calibrated phase compensation on hardware. This represents an "offline closed-loop, online open-loop" feasibility demonstration. Using an Aer-based emulator calibrated with ibm_fez device parameters, Aurora-DD achieves substantial reductions in mean-squared error of the measured expectation value , yielding 68-97% improvement across phase settings phi = 0.05, 0.10, 0.15, 0.20 over n=30 randomized trials. These large-n emulator results provide statistically stable evidence that the combined effect of XY8 and Delta phi* suppresses both dephasing and systematic phase bias. On real superconducting hardware (ibm_fez), we perform a small-sample (n=3) multi-phase validation campaign. Aurora-DD yields point estimates corresponding to approximately 99.2-99.6% reduction in absolute error relative to a no-DD baseline across all tested phase points. These hardware numbers are reported transparently as feasibility evidence under tight queue and credit constraints. In contrast, the auxiliary Aurora+ZNE branch exhibits instability: shallow two-point ZNE occasionally amplifies calibration inconsistencies and produces large error outliers. We therefore relegate ZNE analysis to the Appendix and position Aurora-DD (without ZNE) as the primary contribution. Overall, the combined results support pre-calibrated Aurora-DD as a practical, stable, and hardware-compatible phase-coherence compensator for NISQ devices in single-qubit settings. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2511.20741 [quant-ph] (or arXiv:2511.20741v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2511.20741 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Futoshi Hamanoue [view email] [v1] Tue, 25 Nov 2025 17:17:55 UTC (218 KB) Full-text links: Access Paper: View a PDF of the paper titled Closed-Loop Phase-Coherence Compensation for Superconducting Qubits Integrated Computational and Hardware Validation of the Aurora Method, by Futoshi HamanoueView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2025-11 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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