Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets

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Quantum Physics arXiv:2603.15758 (quant-ph) [Submitted on 16 Mar 2026] Title:Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets Authors:Andy J. Goldschmidt, Emilio Peláez Cisneros, Ryan Sitler, Kevin Olsson, Kaitlin N. Smith, Gregory Quiroz View a PDF of the paper titled Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets, by Andy J. Goldschmidt and 5 other authors View PDF HTML (experimental) Abstract:We introduce crosstalk-robust gate sets, which are obtained using a novel, scalable optimal control problem exploiting locality. Through the suppression of pairwise quantum crosstalk, the gate sets enable robustness that extends to multi-qubit circuits. The IBM Quantum Platform devices provide a testbed for our gate sets, where we study their efficacy via error suppression protocols and randomized parallel single-qubit circuits of up to eight qubits. Furthermore, we provide the first known assessment of the impact of complete optimal control gate sets on quantum algorithms. Using a Hamiltonian simulation of a four-qubit transverse field Ising model, we show that noise-informed gates enhance median algorithmic performance by a factor of four over baseline Gaussian gates using the same calibration procedures. Lastly, we provide numerical evidence that optimized gate sets enable larger qubit-qubit coupling strengths that can cut two-qubit gate times in half. This result confirms that hardware-software co-design using quantum optimal control can create new opportunities for quantum computing architectures. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2603.15758 [quant-ph] (or arXiv:2603.15758v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2603.15758 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Andy Goldschmidt [view email] [v1] Mon, 16 Mar 2026 18:00:23 UTC (585 KB) Full-text links: Access Paper: View a PDF of the paper titled Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets, by Andy J. Goldschmidt and 5 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-03 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?)
