AINeutralarXiv – CS AI · 10h ago6/10
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Fine-Tuning Large Language Models for Quantum Reasoning
Researchers propose fine-tuning pipelines to enable large language models to perform genuine quantum reasoning rather than pattern matching, using quantum circuit simulation as a training objective. Two approaches—Supervised Fine-Tuning (SFT) and a combined SFT+Group Relative Policy Optimisation (GRPO) method—demonstrate significant performance improvements over baseline models, with trade-offs between in-distribution accuracy and generalization to larger quantum systems.