A Survey of Quantum Learning Theory

Srinivasan Arunachalam; Ronald de Wolf

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arXiv · 1701.06806

A Survey of Quantum Learning Theory

Srinivasan Arunachalam·Ronald de Wolf

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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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Srinivasan Arunachalam, Ronald de Wolf. 2017-07-28. A Survey of Quantum Learning Theory. https://arxiv.org/abs/1701.06806

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