Q-SafeML applies quantum distance metrics, such as trace distance and fidelity, to compare correct and incorrect predictions of quantum classifiers, offering a way to flag unsafe or unreliable QML behavior.
In: Model-Based Safety and Assessment: 7th International Sympo- sium, IMBSA 2020, Lisbon, Portugal, September 14–16
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Q-SafeML: Safety Assessment of Quantum Machine Learning via Quantum Distance Metrics
Q-SafeML applies quantum distance metrics, such as trace distance and fidelity, to compare correct and incorrect predictions of quantum classifiers, offering a way to flag unsafe or unreliable QML behavior.