Adaptive Parallelism-Aware Qubit Routing for Ion Trap QCCD Architectures

TL;DR

This paper presents a novel qubit routing strategy for ion trap QCCD architectures that leverages parallelism and adapts to device topology, significantly reducing transport overhead and enhancing fidelity.

Contribution

It introduces a configurable, adaptive routing method that exploits parallelism in ion trap architectures, outperforming existing techniques across various benchmarks.

Findings

Reduces ion-transport overhead in benchmarks

Improves execution fidelity compared to state-of-the-art

Effectively balances movement overhead and parallelism

Abstract

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.