Inductive supervised quantum learning

24 May 2016 Alex Monràs Gael Sentís Peter Wittek

In supervised learning, an inductive learning algorithm extracts general rules from observed training instances, then the rules are applied to test instances. We show that this splitting of training and application arises naturally, in the classical setting, from a simple independence requirement with a physical interpretation of being non-signalling... (read more)

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