Quantum Computing Shows Promise in Predicting Lung Cancer with Limited Data
A new study led by Florida Atlantic University researchers demonstrates the potential of quantum computing to develop reliable machine learning models for healthcare, particularly in scenarios with limited training data. Published today in Discover Quantum Science, the research found that D-Wave's annealing quantum computers, used within a quantum support vector machine framework, achieved high accuracy in predicting lung cancer.
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