quantum supervised learning
Quantum supervised learning refers to the application of quantum computing principles and algorithms to enhance or perform supervised machine learning tasks. It combines the power of quantum states and quantum operations to process and analyze data, improve learning models, and make predictions, potentially leading to more efficient and accurate learning processes compared to classical supervised learning methods.
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