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Optimising Quantum Error Correction Using Morphing Circuits

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers Shaw and Terhal introduce a novel method using morphing circuits to optimize quantum error correction (QEC) by directly improving syndrome extraction circuits, reducing hardware constraints like qubit connectivity and gate choice. Their approach simplifies fault-tolerance analysis by framing alternating syndrome extraction rounds as two-round morphing circuits, making verification computationally easier than traditional non-alternating methods. The study identifies new QEC codes with superior parameters, including Abelian two-block group algebra (2BGA) codes that outperform existing designs in connectivity and qubit efficiency. Practical applications include enhanced 2D code boundaries, single-shot error correction, and improved resilience against measurement and reset errors in stability experiments. This work builds on prior morphing circuit research, offering hardware-friendly solutions for near-term quantum devices while advancing theoretical understanding of fault-tolerant architectures.
Optimising Quantum Error Correction Using Morphing Circuits

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Quantum Physics arXiv:2604.09797 (quant-ph) [Submitted on 10 Apr 2026] Title:Optimising Quantum Error Correction Using Morphing Circuits Authors:Mackenzie H. Shaw, Barbara M. Terhal View a PDF of the paper titled Optimising Quantum Error Correction Using Morphing Circuits, by Mackenzie H. Shaw and Barbara M. Terhal View PDF Abstract:Quantum error correction (QEC) codes are traditionally defined and searched for without specifying the manner in which its syndrome extraction circuits are executed using elementary gates and measurements. We show how morphing circuits introduced in Refs. [1-3] provide a way of optimising syndrome extraction circuits and codes directly in terms of connectivity, choice of two-qubit gate (ISWAP versus CNOT) and number of physical qubits. We discuss morphing circuits in code optimisation among Abelian two-block group algebra (2BGA) codes, handling boundaries for 2D codes, codes with single-shot properties, and improving performance in stability experiments against measurement and reset errors. We show that alternating syndrome extraction circuits - executed with alternating time-reversed rounds - can be viewed as a two-round morphing circuit whose fault-tolerant properties are computationally much easier to examine than non-alternating syndrome extraction circuits. Our methods find new codes and syndrome extraction circuits of practical interest, including Abelian 2BGA morphing circuits with better code parameters and connectivity than existing circuits. [1] Matt McEwen, Dave Bacon, and Craig Gidney. Relaxing hardware requirements for surface code circuits using time-dynamics. Quantum, 7:1172, 2023. [2] Craig Gidney and Cody Jones. New circuits and an open source decoder for the color code, 2023. [3] Mackenzie H. Shaw and Barbara M. Terhal. Lowering connectivity requirements for bivariate bicycle codes using morphing circuits. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2604.09797 [quant-ph] (or arXiv:2604.09797v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2604.09797 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Mackenzie Shaw [view email] [v1] Fri, 10 Apr 2026 18:19:25 UTC (14,354 KB) Full-text links: Access Paper: View a PDF of the paper titled Optimising Quantum Error Correction Using Morphing Circuits, by Mackenzie H. Shaw and Barbara M. TerhalView PDFTeX 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