AINeutralarXiv – CS AI · Apr 106/10
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Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study
Researchers present the first empirical study of machine unlearning in hybrid quantum-classical neural networks, adapting classical unlearning methods to quantum settings and introducing quantum-specific strategies. The study reveals that quantum models can effectively support unlearning, with performance varying based on circuit depth and entanglement structure, establishing baseline insights for privacy-preserving quantum machine learning systems.