Quantum support vector machines (QSVMs) are a type of quantum algorithm that enhances classical support vector machines by leveraging quantum computing capabilities to improve the efficiency and accuracy of classification tasks. By utilizing quantum properties such as superposition and entanglement, QSVMs can process complex datasets faster than traditional methods, making them particularly useful in scenarios like demand forecasting and drug design where large amounts of data are involved.
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