QBugLM introduces an agentic benchmarking framework for LLM debugging of quantum software and shows iterative prompting greatly improves repair rates on injected bugs.
Qiskit code assistant: training LLMs for generating quantum computing code,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.SE 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A taxonomy-guided RAG system with LLMs reduces hallucinations and improves migration suggestions for Qiskit code compared to unconstrained retrieval.
citing papers explorer
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QBugLM: An Agentic Benchmarking Framework for LLM-based Quantum Software Debugging
QBugLM introduces an agentic benchmarking framework for LLM debugging of quantum software and shows iterative prompting greatly improves repair rates on injected bugs.
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Qiskit Code Migration with LLMs
A taxonomy-guided RAG system with LLMs reduces hallucinations and improves migration suggestions for Qiskit code compared to unconstrained retrieval.