485 citations · 1.5k across the 72 of their papers we have counts for
Showing 2022 · quant-phShow all
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quant-ph2022★ 65 cited
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…
quant-ph2022★ 1 cited
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…