AI RESEARCH
PennySynth: RAG-Driven Data Synthesis for Automated Quantum Code Generation
arXiv CS.AI
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ArXi:2605.25572v1 Announce Type: cross The growing complexity of quantum programming frameworks has exposed a critical limitation in existing large language model (LLM)-based code assistants: general-purpose models hallucinate PennyLane-specific gate names, misplace device configurations, and produce structurally invalid circuits when faced with specialized quantum coding challenges.