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Benchmarking the quantum approximate optimization algorithm
Work
Year: 2020
Type: article
Abstract: The performance of the quantum approximate optimization algorithm is evaluated by using three different measures: the probability of finding the ground state, the energy expectation value, and a rati... more
Source: Quantum Information Processing
Authors Madita Willsch, Dennis Willsch, Fengping Jin, Hans De Raedt, Kristel Michielsen
Institutions Forschungszentrum Jülich, University of Groningen, RWTH Aachen University
Cites: 45
Cited by: 123
Related to: 10
FWCI: 11.93
Citation percentile (by year/subfield): 89.07
Topic: Quantum Computing Algorithms and Architecture
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: hybrid
APC paid (est): $2,690
Funders European Commission, Helmholtz-Gemeinschaft
Grant IDS 820363, ZT-0013