485 citations · 1.5k across the 72 of their papers we have counts for
4 papers · 1 filter
Towards quantum enhanced adversarial robustness in machine learning
Maxwell T. West, Shu-Lok Tsang, Jia S. Low +5
Machine learning algorithms are powerful tools for data driven tasks such as image classification and feature detection, however their vulnerability to adversarial examples - input…
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation
Shu Lok Tsang, Maxwell T. West, Sarah M. Erfani +1
Quantum machine learning (QML) has received increasing attention due to its potential to outperform classical machine learning methods in problems pertaining classification and ide…
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Maxwell T. West, Sarah M. Erfani, Christopher Leckie +3
Machine learning (ML) methods such as artificial neural networks are rapidly becoming ubiquitous in modern science, technology and industry. Despite their accuracy and sophisticati…
Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm
Fanzhe Qu, Sarah M. Erfani, Muhammad Usman
Quantum computing is anticipated to offer immense computational capabilities which could provide efficient solutions to many data science problems. However, the current generation…