Machine unlearning methods adapted to hybrid quantum models achieve effective forgetting that varies with circuit depth and entanglement, establishing initial empirical baselines for quantum-aware unlearning.
In: Advances in Neural Information Processing Systems
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Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
Machine unlearning methods adapted to hybrid quantum models achieve effective forgetting that varies with circuit depth and entanglement, establishing initial empirical baselines for quantum-aware unlearning.