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Parameterized quantum circuits as machine learning models
Work
Year: 2019
Type: article
Abstract: Hybrid quantum-classical systems make it possible to utilize existing quantum computers to their fullest extent. Within this framework, parameterized quantum circuits can be regarded as machine learni... more
Source: Quantum Science and Technology
Authors Marcello Benedetti, Erika Lloyd, Stefan Sack, Mattia Fiorentini
Institutions University College London, Cambridge Quantum Computing (United Kingdom)
Cites: 159
Cited by: 762
Related to: 10
FWCI: 45.48
Citation percentile (by year/subfield): 100
Topic: Quantum Computing Algorithms and Architecture
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder Engineering and Physical Sciences Research Council