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

arXiv:2512.18021 · quant-ph, cs.ET, cs.LG · Submitted 2025-12-19 · Read on arXiv

quant-ph, cs.ET, cs.LG

Submitted: 2025-12-19

Updated: 2026-09-15

Comments: 25 pages, 9 figures, 5 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Fine-Tuning — 23× in this paper · explained in 5 episodes
• Reinforcement Learning — 8× in this paper · explained in 4 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Abstraction — 5× in this paper · explained in 1 episode
• Quantum Circuits — 5× in this paper · explained in 2 episodes
• GRPO — 4× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 4× in this paper · explained in 6 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
• AdamW Optimizer — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Direct Preference Optimization — 2× in this paper
• Fidelity — 2× in this paper · explained in 2 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 4 episodes
• Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• Shuttling-Based Trapped-Ion Quantum Information Processing
• Demonstration of the trapped-ion quantum-CCD computer architecture
• High fidelity transport of trapped-ion qubits through an X-junction trap array
• Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers
• Reliable transport through a microfabricated X-junction surface-electrode ion trap
• A Race Track Trapped-Ion Quantum Processor
• Helios: A 98-qubit trapped-ion quantum computer
• Fault-tolerant parity readout on a shuttling-based trapped-ion quantum computer
• Blueprint for a microwave trapped-ion quantum computer
• Optimization of segmented linear Paul traps and transport of stored particles
• Backend compiler phases for trapped-ion quantum computers
• Automated Generation of Shuttling Sequences for a Linear Segmented Ion Trap Quantum Computer
• Coherent Diabatic Ion Transport and Separation in a Multi-Zone Trap Array
• Muzzle the Shuttle: Efficient Compilation for Multi-Trap Trapped-Ion Quantum Computers
• T-junction ion trap array for two-dimensional ion shuttling, storage and manipulation
• Efficient Compilation for Shuttling Trapped-Ion Machines via the Position Graph Architectural Abstraction
• Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search
• Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures
• Scaling Qubit Mapping and Routing With Position Graph Abstraction and Memoization
• Language Models are Few-Shot Learners

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