Adaptive Parallelism-Aware Qubit Routing for Ion Trap QCCD Architectures
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866911531760877568 |
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| author | Ovide, Anabel Angles-Castillo, Andreu Almudever, Carmen G. |
| author_facet | Ovide, Anabel Angles-Castillo, Andreu Almudever, Carmen G. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_19969 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Adaptive Parallelism-Aware Qubit Routing for Ion Trap QCCD Architectures Ovide, Anabel Angles-Castillo, Andreu Almudever, Carmen G. Quantum Physics 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. |
| title | Adaptive Parallelism-Aware Qubit Routing for Ion Trap QCCD Architectures |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2603.19969 |