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A survey of quantum learning theory

Abstract

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

Similar works

This paper was published in CWI's Institutional Repository.

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