#hybrid-quantum-classical News & Analysis

2 articles tagged with #hybrid-quantum-classical. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Apr 146/10

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QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits

Researchers introduce QShield, a hybrid quantum-classical neural network architecture that combines traditional CNNs with quantum processing modules to defend deep learning models against adversarial attacks. Testing on MNIST, OrganAMNIST, and CIFAR-10 datasets shows the hybrid approach maintains accuracy while substantially reducing attack success rates and increasing computational costs for adversaries.

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.