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Fidelity-Aware Frequency Allocation and Transpilation Co-Design for Tunable Coupler Quantum Systems

arXiv Quantum Physics
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⚡ Quantum Brief
Researchers from Yale and other institutions introduced a framework addressing frequency crowding in superconducting quantum processors, particularly in tunable-coupler systems. The study models spectator-induced errors and incoherent lifetime effects to optimize qubit frequency allocation. The team formulated a constrained optimization problem to assign qubit and coupler frequencies while minimizing errors under hardware limitations. Their scalable strategies demonstrate how frequency crowding impacts gate fidelity as system size and connectivity increase. A fidelity-connectivity tradeoff emerges when scaling qubit count and coupling density within modules, revealing architectural constraints for near-term quantum devices. The paper introduces FINESSE, a noise-aware transpilation method that reduces error by selecting high-fidelity paths and optimizing gate execution. It outperforms SABRE with 8.9% lower log-infidelity and 6.8% shorter circuit depth on SNAIL architectures. Experiments on SNAIL-based third-order couplers and IBM Brisbane’s architecture validate the co-design approach, showing measurable improvements in gate fidelity and circuit efficiency.
Fidelity-Aware Frequency Allocation and Transpilation Co-Design for Tunable Coupler Quantum Systems

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Quantum Physics arXiv:2605.21662 (quant-ph) [Submitted on 20 May 2026] Title:Fidelity-Aware Frequency Allocation and Transpilation Co-Design for Tunable Coupler Quantum Systems Authors:Dylan VanAllen, Evan McKinney, Israa G. Yusuf, Girgis Falstin, Gaurav Agarwal, Jason Pollack, Michael Hatridge, Alex K. Jones View a PDF of the paper titled Fidelity-Aware Frequency Allocation and Transpilation Co-Design for Tunable Coupler Quantum Systems, by Dylan VanAllen and 7 other authors View PDF HTML (experimental) Abstract:Frequency crowding is a fundamental limitation in superconducting quantum architectures, particularly in tunable-coupler systems. We present a framework that explicitly models both coherent spectator-induced errors and incoherent lifetime effects through an error budgeting approach. Using this model, we analyze how frequency crowding impacts gate fidelity as module size and connectivity scale, and formulate a constrained optimization problem to assign qubit and coupler frequencies under realistic separation and hardware constraints. We demonstrate scalable frequency allocation strategies that minimize spectator-induced errors. We further show that increasing qubit count and coupling density within a module leads to a fidelity-connectivity tradeoff. To explore the benefits at the system scale, we have developed a noise-aware transpilation approach called FINESSE, which minimizes error by selecting high-fidelity paths that satisfy connectivity via SWAP insertion while jointly optimizing downstream gate execution. We demonstrate this physics-informed architecture-transpilation co-design approach for a SNAIL-based third-order coupler that natively realizes the $\sqrt{iSWAP}$ basis with frequency aware gate fidelities. On SNAIL architectures, FINESSE achieves an average 8.9% reduction in log-infidelity cost and 6.8% reduction in circuit depth vs. SABRE. We also compare results on IBM Brisbane's architecture. Comments: Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2605.21662 [quant-ph] (or arXiv:2605.21662v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2605.21662 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Dylan VanAllen [view email] [v1] Wed, 20 May 2026 19:13:50 UTC (2,957 KB) Full-text links: Access Paper: View a PDF of the paper titled Fidelity-Aware Frequency Allocation and Transpilation Co-Design for Tunable Coupler Quantum Systems, by Dylan VanAllen and 7 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-05 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