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WISER: Systematic Design-Space Exploration of Fault-Tolerant Global Control Trapped-Ions

Scott Jones, Song-qing-hao Yang, Prakash Murali
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The recently proposed WISE promise orders-of-magnitude reductions in wiring complexity but fundamentally alter the hardware--software interface, making it unclear whether such restrictive architectures can feasibly execute quantum error correction (QEC) and eventually support fault-tolerant workloads. We present WISER, a cross-layer architectural design-space exploration framework for globally controlled trapped-ion systems, to determine whether WISE can support early FTQC, and what hardware/compiler/QEC choices are needed. Even under $\sim 10\times$ improvements in physical errors, the lower-bound cycle time to achieve $ 10\times$ physical error rate reductions along with substantial $> 100\times$ reduction in fault-tolerant circuit-depth.
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Quantum Physics arXiv:2609.13546 (quant-ph) [Submitted on 11 Sep 2026] Title:WISER: Systematic Design-Space Exploration of Fault-Tolerant Global Control Trapped-Ions Authors:Scott Jones, Song-qing-hao Yang, Prakash Murali View a PDF of the paper titled WISER: Systematic Design-Space Exploration of Fault-Tolerant Global Control Trapped-Ions, by Scott Jones and 2 other authors View PDF HTML (experimental) Abstract:Trapped-ion quantum computers are a leading candidate for scalable fault-tolerant quantum computing, but conventional Quantum Charge-Coupled Device (QCCD) architectures face severe wiring and power constraints as systems scale. The recently proposed WISE promise orders-of-magnitude reductions in wiring complexity but fundamentally alter the hardware--software interface, making it unclear whether such restrictive architectures can feasibly execute quantum error correction (QEC) and eventually support fault-tolerant workloads. We present WISER, a cross-layer architectural design-space exploration framework for globally controlled trapped-ion systems, to determine whether WISE can support early FTQC, and what hardware/compiler/QEC choices are needed. WISER combines novel WISE-specific compilation, noise modelling, and simulation and integrated them into a unified framework. WISER provides comparative lower-bound estimates of logical clock speed and logical error rate, rather than absolute hardware prediction, enabling us to identify viable operating regions while ruling out infeasible ones. To our knowledge, it is the first systematic design space exploration study targeted at WISE and scalable architectures beyond QCCD. Using WISER, we identify a narrow feasible design space requiring two-ion traps, moderate control multiplexing, aggressive recooling, and high-rate bivariate-bicycle codes. Even under $\sim 10\times$ improvements in physical errors, the lower-bound cycle time to achieve $ 10\times$ physical error rate reductions along with substantial $> 100\times$ reduction in fault-tolerant circuit-depth. Subjects: Quantum Physics (quant-ph); Hardware Architecture (cs.AR) Cite as: arXiv:2609.13546 [quant-ph] (or arXiv:2609.13546v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2609.13546 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Scott Jones [view email] [v1] Fri, 11 Sep 2026 21:22:31 UTC (295 KB) Full-text links: Access Paper: View a PDF of the paper titled WISER: Systematic Design-Space Exploration of Fault-Tolerant Global Control Trapped-Ions, by Scott Jones and 2 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-09 Change to browse by: cs cs.AR 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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trapped-ion
quantum-investment
quantum-computing
quantum-error-correction

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