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A Survey of Quantum Learning Theory
Published 24 Jan 2017 in quant-ph, cs.CC, and cs.LG | (1701.06806v3)
Abstract: This paper surveys quantum learning theory: the theoretical aspects of machine learning using quantum computers. We describe the main results known for three models of learning: exact learning from membership queries, and Probably Approximately Correct (PAC) and agnostic learning from classical or quantum examples.
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