Quantum machine learning is a field that combines quantum computing with machine learning techniques to enhance data analysis and pattern recognition. It leverages the principles of quantum mechanics, such as superposition and entanglement, to perform computations that can solve problems more efficiently than classical algorithms. This intersection can significantly advance various areas, including chemistry, by enabling the exploration of complex molecular systems and optimizing chemical reactions.
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