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QBugLM: An Agentic Benchmarking Framework for LLM-based Quantum Software Debugging
Quantum software bugs often yield silent, incorrect outputs rather than explicit errors, making them particularly difficult to detect and repair with conventional techniques. Although large language models (LLMs) have shown strong performance on classical software engineering tasks, their ability to
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