Jul 22, 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 …

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 …

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 …

Mar 16, 2026 · Quantum Extreme Learning Machines (QELM) exploit the rich dynamics and high-dimensionality of Hilbert spaces, together with design principles inspired by Reservoir Computing, to …

Mar 26, 2026 · The IBM Research blog is the home for stories told by the researchers, scientists, and engineers inventing What’s Next in science and technology.

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 …

Mar 24, 2026 · At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.

Data encoding remains a fundamental bottleneck in quantum machine learning, where amplitude encoding of high-dimensional classical vectors into quantum states incurs exponential cost. In this …

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) …

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 …