Quantum-enhanced machine learning refers to the integration of quantum computing techniques into traditional machine learning algorithms to improve performance and efficiency. By leveraging the principles of quantum mechanics, such as superposition and entanglement, this approach can process vast amounts of data more rapidly than classical systems, leading to better predictive models and solutions in various applications including artificial intelligence.
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