Prospects for Near-Term Quantum Machine Learning View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

Maria Schuld , Francesco Petruccione

ABSTRACT

In order to run the quantum machine learning algorithms presented in this book we often assumed to have a universal, large-scale, error-corrected quantum computer available. Universal means that the computer can implement any unitary operation for the quantum system it is based on, and therefore any quantum algorithm we can think of. More... »

PAGES

273-279

Book

TITLE

Supervised Learning with Quantum Computers

ISBN

978-3-319-96423-2
978-3-319-96424-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-96424-9_9

DOI

http://dx.doi.org/10.1007/978-3-319-96424-9_9

DIMENSIONS

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