Dimensionality reduction for closed-loop quantum gate calibration

[2412.05230] Dimensionality reduction for closed-loop quantum gate calibration Skip to main content Search Submit Donate Log in Quantum Physics arXiv:2412.05230 (quant-ph) [Submitted on 6 Dec 2024 ( v1 ), last revised 24 Aug 2026 (this version, v2)] Title: Dimensionality reduction for closed-loop quantum gate calibration Authors: Emma Berger , Vivek Maurya , Z. M. McIntyre , Ken Xuan Wei , Holger Haas , Daniel Puzzuoli View PDF Abstract: Numerical gate design typically makes use of high-dimensional parameterizations enabling sophisticated, highly expressive control pulses. Developing efficient experimental calibration methods for such gates is a long-standing challenge in quantum control, as on-device calibration requires the optimization of noisy experimental data over high-dimensional parameter spaces. To improve the efficiency of calibrations, we present a systematic method based on SVD stacking for reducing the dimensionality of the parameter space traversed in gate calibration, starting from an arbitrary high-dimensional pulse representation. We use this approach to design and calibrate an $X_{\pi/2}$ gate robust against amplitude and detuning errors, as well as an $X_{\pi/2}$ gate robust against coherent errors due to a spectator qubit. Comments: 15 pages, 7 figures Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2412.05230 [quant-ph] (or arXiv:2412.05230v2 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2412.05230 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1103/w2v4-7pvc Focus to learn more DOI(s) linking to related resources Submission history From: Daniel Puzzuoli [ view email ] [v1] Fri, 6 Dec 2024 18:00:07 UTC (725 KB) [v2] Mon, 24 Aug 2026 21:18:49 UTC (713 KB) Full-text links: Access Paper: View PDF TeX Source view license Current browse context: quant-ph < prev | next > new | recent | 2024-12 References & Citations INSPIRE HEP SciX Google Scholar Semantic Scholar export BibTeX citation 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? ) We gratefully acknowledge support from our major funders , member institutions , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)

Related documents

• Dimensionality reduction for closed-loop quantum gate calibration#670309
• Quantum Computational Sensing#662369
• Quantum Computational Sensing#661319
• Direct And Efficient Detection of Quantum Superposition - Data and Figures#337780
• Quantum State Readout via Overlap-Based Feature Extraction#1142538