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

D-Wave quantum annealing systems demonstrate high accuracy in clinical machine learning trial

By GPU Data Hub Desk · GPU Data Hub·Editorial standards··United States
FAU Researchers Explore Quantum Computing to Predict Lung Cancer with Limited Data

Researchers at Florida Atlantic University have investigated the use of quantum computing to forecast lung cancer diagnoses in scenarios with constrained healthcare data. Implementing a quantum support vector machine on D-Wave quantum annealing systems yielded prediction accuracy of 94.31% in simulation and 91.90% on physical quantum hardware.

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This summary was written by the GPU Data Hub desk from reporting published by HPCwire on 2 Nov 2026, 17:39. Read the full article at the original publisher.

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