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This paper surveys quantum learning theory: the theoretical aspects of machine learning
\nusing quantum computers. We describe the main results known for three models of learn-
\ning: exact learning from membership queries, and Probably Approximately Correct (PAC) and
\nagnostic learning from classical or quantum examples
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