Quantum machine learning is an interdisciplinary field that combines quantum computing with machine learning techniques to enhance data processing and analysis. By leveraging the principles of quantum mechanics, such as superposition and entanglement, quantum machine learning aims to solve complex problems faster and more efficiently than classical algorithms. This area has the potential to revolutionize various applications, including optimization, pattern recognition, and data classification.
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