Impacts of Quantum Mechanics: A Survey of Applied Quantum Computing

D Zhang, E Savage, JF Lin… - 2024 IEEE 67th …, 2024 - ieeexplore.ieee.org
In this survey paper, we provide an overview of the significance of quantum computing. It
includes a review of fundamental principles, technological advancements, the …

Quadratic advantage with quantum randomized smoothing applied to time-series analysis

N Franco, M Kempkes, J Spiegelberg… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
As quantum machine learning continues to develop at a rapid pace, the importance of
ensuring the robustness and efficiency of quantum algorithms cannot be overstated. Our …

Computable Model-Independent Bounds for Adversarial Quantum Machine Learning

B Li, T Alpcan, C Thapa, U Parampalli - arxiv preprint arxiv:2411.06863, 2024 - arxiv.org
By leveraging the principles of quantum mechanics, QML opens doors to novel approaches
in machine learning and offers potential speedup. However, machine learning models are …

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning

D Winderl, N Franco, JM Lorenz - arxiv preprint arxiv:2404.16417, 2024 - arxiv.org
With the rapid advancement of Quantum Machine Learning (QML), the critical need to
enhance security measures against adversarial attacks and protect QML models becomes …

Quantum Machine Learning: Performance and Security Implications in Real-World Applications

ZJ Luo, T Stewart, M Narasareddygari, R Duan… - arxiv preprint arxiv …, 2024 - arxiv.org
Quantum computing has garnered significant attention in recent years from both academia
and industry due to its potential to achieve a" quantum advantage" over classical computers …

Comparative Analysis of Vulnerabilities in Classical and Quantum Machine Learning

V Reers, M Maußner - INFORMATIK 2024, 2024 - dl.gi.de
Machine learning has made some remarkable breakthroughs in recent years. It has entered
many sectors of the economy and everyday topics and in some cases has led to significant …