Quantum machine learning is an interdisciplinary field that combines principles of quantum computing with machine learning algorithms to improve data processing capabilities. By leveraging the unique properties of quantum mechanics, such as superposition and entanglement, this approach can potentially solve complex problems more efficiently than classical machine learning methods, especially in the context of big data and IoT applications. The fusion of these technologies opens up new possibilities for smarter, faster, and more secure data analysis.
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