Quantum Computing Applications in Machine Learning

Abstract

Quantum computing holds promise to revolutionize the field of machine learning by offering substantial computational speed-ups for complex algorithms. This article explores various quantum algorithms and their potential applications in enhancing machine learning models. The discussion encompasses the challenges and opportunities in integrating quantum computing with current machine learning frameworks. Preliminary results suggest that quantum-enhanced models may outperform classical approaches in specific tasks, albeit with significant implementation challenges remaining.
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