Hardware-Aware Compilation and Execution of Bivariate Bicycle Codes on Neutral-Atom Systems

Quantum Physics arXiv:2608.17023 (quant-ph) [Submitted on 17 Aug 2026] Title:Hardware-Aware Compilation and Execution of Bivariate Bicycle Codes on Neutral-Atom Systems Authors:Jason Ludmir, Aditya Ranjan, Nicholas S. DiBrita, Jason Han, Tirthak Patel View a PDF of the paper titled Hardware-Aware Compilation and Execution of Bivariate Bicycle Codes on Neutral-Atom Systems, by Jason Ludmir and 4 other authors View PDF HTML (experimental) Abstract:Quantum computers are noisy; without quantum error correction (QEC), deep programs fail as qubits lose information due to decoherence. Among QEC approaches, bivariate bicycle (BB) codes offer low overhead and constant-depth syndrome extraction, while neutral-atom arrays provide scalable, reconfigurable qubit layouts. However, executing BB-code primitives on neutral-atom systems requires a hardware-aware mapping that respects movement, zoning, and interaction constraints. We present Park-n-Ride, a system for compiling and executing the BB code on neutral-atom processors. Park-n-Ride introduces a module layout and movement model aligned with neutral-atom constraints, exposes a compact BB-native logical interface for compilation, and integrates scheduling mechanisms that enable efficient execution on zoned architectures. By co-designing BB-code abstractions with hardware execution, Park-n-Ride provides a practical path from qLDPC primitives to resource-efficient, high-throughput execution on reconfigurable neutral-atom arrays. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2608.17023 [quant-ph] (or arXiv:2608.17023v1 [quant-ph] for this version) https://doi.org/10.48550/arXiv.2608.17023 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Jason Ludmir [view email] [v1] Mon, 17 Aug 2026 18:19:08 UTC (1,480 KB) Full-text links: Access Paper: View a PDF of the paper titled Hardware-Aware Compilation and Execution of Bivariate Bicycle Codes on Neutral-Atom Systems, by Jason Ludmir and 4 other authorsView PDFHTML (experimental)TeX Source view license Current browse context: quant-ph new | recent | 2026-08 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?)