Adversarial Robustness Guarantees for Quantum Classifiers

[PDF] arxiv.org

Non-Unitary Quantum Machine Learning

J Heredge, M West, L Hollenberg, M Sevior - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce several novel probabilistic quantum algorithms that overcome the normal
unitary restrictions in quantum machine learning by leveraging the Linear Combination of …
被引用次数：1 相关文章 所有 2 个版本
[PDF] arxiv.org

AdvQuNN: A Methodology for Analyzing the Adversarial Robustness of Quanvolutional Neural Networks

W El Maouaki, A Marchisio, T Said… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Recent advancements in quantum computing have led to the development of hybrid
quantum neural networks (HQNNs) that employ a mixed set of quantum layers and classical …
相关文章 所有 2 个版本
[PDF] arxiv.org

RobQuNNs: A Methodology for Robust Quanvolutional Neural Networks against Adversarial Attacks

WE Maouaki, A Marchisio, T Said, M Shafique… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent advancements in quantum computing have led to the emergence of hybrid quantum
neural networks, such as Quanvolutional Neural Networks (QuNNs), which integrate …
相关文章 所有 2 个版本