Q-LIME π encodes binary feature vectors as qubit states and flips bits to estimate feature contributions, but the quantum encoding is decorative and the method reduces to classical leave-one-out attribution.
On the interpretability of quantum neural ne tworks
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Q-LIME $\pi$: A Quantum-Inspired Extension to LIME
Q-LIME π encodes binary feature vectors as qubit states and flips bits to estimate feature contributions, but the quantum encoding is decorative and the method reduces to classical leave-one-out attribution.