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quant-ph2026★ 1 cited
Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision
Mohamed Afane, Quanjiang Long, Haoting Shen +4
Current quantum neural networks suffer from extreme sensitivity to both adversarial perturbations and hardware noise, creating a significant barrier to real-world deployment. Exist…
quant-ph2025
SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
Rahul Kumar, Wenqi Wei, Ying Mao +3
We propose a circuit-level attack, SQUASH, a SWAP-Based Quantum Attack to sabotage Hybrid Quantum Neural Networks (HQNNs) for classification tasks. SQUASH is executed by inserting…
quant-ph2025
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
Mohamed Afane, Gabrielle Ebbrecht, Ying Wang +2
Quantum Neural Networks (QNNs) offer promising capabilities for complex data tasks, but are often constrained by limited qubit resources and high entanglement, which can hinder sca…