GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm

We study large-scale applications using a GPU-accelerated version of the massively parallel Jülich universal quantum computer simulator (JUQCS–G). First, we benchmark JUWELS Booster, a GPU cluster with 3744 NVIDIA A100 Tensor Core GPUs. Then, we use JUQCS–G to study the relation between quantum anne...

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Bibliographic Details

Published in:	Computer physics communications Vol. 278; p. 108411
Main Authors:	Willsch, Dennis, Willsch, Madita, Jin, Fengping, Michielsen, Kristel, De Raedt, Hans
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2022
Subjects:	Approximate quantum annealing Computer simulation High performance computing Parallelization QAOA Quantum annealing Quantum computing Quantum computing Approximate quantum annealing High performance computing Computer simulation QAOA Quantum annealing Parallelization
ISSN:	0010-4655, 1879-2944
Online Access:	Get full text
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