September 2016
Intermediate to advanced
506 pages
15h 38m
English
L. Oneto; S. Ridella; D. Anguita University of Genoa, Genoa, Italy
Quantum computing represents a promising paradigm for solving complex problems, such as large-number factorization, exhaustive search, optimization, and mean and median computation. On the other hand, supervised learning deals with the classical induction problem where an unknown input-output relation is inferred from a set of data that consists of examples of this relation. Lately, because of the rapid growth of the size of datasets, the dimensionality of the input and output space, and the variety and structure of the data, conventional learning techniques ...
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