TL;DR
This paper presents a novel compilation strategy for multi-zone trapped-ion quantum computers that explicitly models structural constraints, optimizing ion shuttling and gate execution to improve scalability.
Contribution
It introduces a new method that explicitly considers processing zone constraints, enabling more efficient ion movement and gate scheduling in multi-zone QCCD architectures.
Findings
Reduced inter-zone shuttling through optimized compilation.
Effective ion movement management across multiple zones.
Open-source tool implementation demonstrating practical benefits.
Abstract
Trapped-ion quantum computers are a promising platform, offering high-quality qubits with long coherence times and high-fidelity gate operations. The Quantum Charge Coupled Device (QCCD) architecture provides a scalable blueprint by leveraging the ability to shuttle ions between distinct zones. However, realizing such architectures in practice requires software support to manage ion movement across multi-zone layouts. In this work, we propose a compilation strategy for QCCD architectures with multiple processing zones located outside a grid-type memory zone. Unlike previous approaches that treat processing zones as black-boxes, our method explicitly models their structural constraints, enabling optimized ion movement to and through them. It combines qubit partitioning with dependency-aware gate selection to reduce inter-zone shuttling while enabling simultaneous gate execution. We…
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