Adaptive Parallelism-Aware Qubit Routing for Ion Trap QCCD Architectures

Quantum Physics [Submitted on 20 Mar 2026] Adaptive Parallelism-Aware Qubit Routing for Ion Trap QCCD Architectures Anabel Ovide, Andreu Angles-Castillo, Carmen G. Almudever Trapped-ion Quantum Charge-Coupled Device (QCCD) architectures promise scalability through interconnected trap zones and dynamic ion transport; however, this transport capability creates a complex compilation challenge: how to move qubits efficiently without degrading fidelity. We introduce a routing strategy that turns this challenge into an advantage by exploiting operational parallelism across traps while adapting to both algorithmic structure and device topology through a configurable multi-parameter scoring mechanism. Across a broad suite of benchmarks and QCCD layouts, the method consistently reduces ion-transport overhead and improves execution fidelity, outperforming state-of-the-art routing techniques. These results highlight that explicitly balancing movement overhead and execution parallelism under architectural constraints is key to unlocking the full potential of modular trapped-ion quantum processors. Subjects: Quantum Physics (quant-ph) Cite as: arXiv:2603.19969 [quant-ph]   (or arXiv:2603.19969v1 [quant-ph] for this version)   https://doi.org/10.48550/arXiv.2603.19969 Focus to learn more Submission history From: Anabel Ovide [view email] [v1] Fri, 20 Mar 2026 14:11:29 UTC (3,440 KB) Access Paper: HTML (experimental) view license Current browse context: quant-ph < prev   |   next > new | recent | 2026-03 References & Citations INSPIRE HEP NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation 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 Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)