May 25, 2025 · Quantum machine learning (QML) is a rapidly growing field that combines quantum computing principles with traditional machine learning. It seeks to revolutionize machine learning by …

Jul 12, 2021 · We now know that quantum computers have the potential to boost the performance of machine learning systems, and may eventually power efforts in fields from drug discovery to fraud …

Feb 1, 2024 · Even though results are promising, quantum machine learning is far from achieving its full potential. An improvement in quantum hardware is required for this potential to be achieved since the …

Aug 31, 2025 · Quantum Machine Learning for minimal omics datasets with large feature space using embeddings and feature selection techniques Abstract Despite the amount of omics data generated …

Oct 9, 2023 · Quantum machine learning algorithms based on parameterized quantum circuits are promising candidates for near-term quantum advantage. Although these algorithms are compatible …

Nov 22, 2024 · We benchmarked ML-QEM using a variety of machine learning models—linear regression, random forest, multilayer perceptron and graph neural networks—on diverse classes of …

Mar 3, 2024 · We benchmark a variety of machine learning models---linear regression, random forests, multi-layer perceptrons, and graph neural networks---on diverse classes of quantum circuits, over …

Aug 13, 2023 · Quantum machine learning force fields Abstract An accurate knowledge of potential energy surfaces and local forces is of paramount importance to implement molecular dynamics (MD) …

Sep 17, 2023 · Improving Phishing Detection in Ethereum transaction network using Quantum Machine Learning Abstract Ethereum is one of the most valuable blockchain networks in terms of the total …

Jan 18, 2021 · When Machine Learning Meets Quantum Computers: A Case Study for ASP-DAC 2021 by Weiwen Jiang et al.