Shuttling Compiler for Trapped-Ion Quantum Computers Based on Large Language Models

• URL: http://arxiv.org/abs/2512.18021v1
• Date: Fri, 19 Dec 2025 19:29:09 GMT
• Title: Shuttling Compiler for Trapped-Ion Quantum Computers Based on Large Language Models
• Abstract summary: Trapped-ion quantum computers rely on connectivity operations to establish connectivity between sub-registers within a quantum processing unit.<n>We propose a layout compilation strategy based on language increasing models to address this challenge.<n>We demonstrate that it provides a foundation for developing LLM-based compilers for branched-ion quantum computers.
• Score: 27.588919587175543
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Trapped-ion quantum computers based on segmented traps rely on shuttling operations to establish connectivity between multiple sub-registers within a quantum processing unit. Several architectures of increasing complexity have already been realized, including linear arrays, racetrack loops, and junction-based layouts. As hardware capabilities advance, the need arises for flexible software layers within the control stack to manage qubit routing$\unicode{x2014}$the process of dynamically reconfiguring qubit positions so that all qubits involved in a gate operation are co-located within the same segment. Existing approaches typically employ architecture-specific heuristics, which become impractical as system complexity grows. To address this challenge, we propose a layout-independent compilation strategy based on large language models (LLMs). Specifically, we fine-tune pretrained LLMs to generate the required shuttling operations. We evaluate this approach on both linear and branched one-dimensional architectures, demonstrating that it provides a foundation for developing LLM-based shuttling compilers for trapped-ion quantum computers.

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