LATIDIA · Ciberseguridad

BadQubits: un marco basado en LLM para la detección estática previa a la ejecución de circuitos cuánticos estructuralmente dañinos

arXiv: 2609.18965v1Announce Type: new Abstract: Este artículo presenta BadQubits, un framework basado en LLM para la detección estática previa a la ejecución de circuitos OpenQASM 2.0 estructuralmente dañinos. El marco se dirige a la ejecución física

La noticia

arXiv:2609.18965v1 Announce Type: new Abstract: This paper presents BadQubits, an LLM-based framework for static pre-execution detection of structurally harmful OpenQASM 2.0 circuits. The framework targets physical-execution-layer threats by analyzing submitted circuits prior to runtime, where dynamic inspection is constrained by measurement irreversibility and the exponential cost of classical quantum-state simulation. We evaluate four code-understanding LLM architectures on a dataset of 1,500 circuits consisting of 1,000 benign programs from MQTBench[33] and 500 synthetic attack circuits derived from three documented physical-layer threat primitives. Our fine-tuned Qwen Coder 2.5 7B model achieves 92.67% classification accuracy and 96.1% harmful-circuit recall. Two of the four evaluated base models fail to generalize under constrained LoRA fine-tuning,