FAU Researchers Explore Quantum Computing to Predict Lung Cancer with Limited Data

<p>D-Wave’s annealing quantum computers, used in a quantum support vector machine framework, achieved the highest accuracy in the study, reaching 94.31% in simulation and 91.90% on quantum hardware. BOCA RATON, Fla., Nov. 2, 2026 &#8212; Developing reliable machine learning models for healthcare can be challenging when only small datasets are available. This challenge motivates research [&#8230;]</p> <p>The post <a href="https://www.hpcwire.com/off-the-wire/fau-researchers-explore-quantum-computing-to-predict-lung-cancer-with-limited-data/">FAU Researchers Explore Quantum Computing to Predict Lung Cancer with Limited Data</a> appeared first on <a href="https://www.hpcwire.com">HPCwire</a>.</p>