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@ARTICLE{Willsch:910748,
author = {Willsch, Dennis and Willsch, Madita and Gonzalez Calaza,
Carlos Daniel and Jin, Fengping and De Raedt, Hans and
Svensson, Marika and Michielsen, Kristel},
title = {{B}enchmarking {A}dvantage and {D}-{W}ave 2000{Q} quantum
annealers with exact cover problems},
journal = {Quantum information processing},
volume = {21},
issn = {1570-0755},
address = {Dordrecht},
publisher = {Springer Science + Business Media B.V.},
reportid = {FZJ-2022-04118},
pages = {141},
year = {2022},
abstract = {We benchmark the quantum processing units of the largest
quantum annealers to date, the 5000+ qubit quantum annealer
Advantage and its 2000+ qubit predecessor D-Wave 2000Q,
using tail assignment and exact cover problems from aircraft
scheduling scenarios. The benchmark set contains small,
intermediate, and large problems with both sparsely
connected and almost fully connected instances. We find that
Advantage outperforms D-Wave 2000Q for almost all problems,
with a notable increase in success rate and problem size. In
particular, Advantage is also able to solve the largest
problems with 120 logical qubits that D-Wave 2000Q cannot
solve anymore. Furthermore, problems that can still be
solved by D-Wave 2000Q are solved faster by Advantage. We
find, however, that D-Wave 2000Q can achieve better success
rates for sparsely connected problems that do not require
the many new couplers present on Advantage, so improving the
connectivity of a quantum annealer does not per se improve
its performance.},
cin = {JSC},
ddc = {004},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / OpenSuperQ - An Open
Superconducting Quantum Computer (820363)},
pid = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)820363},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000777119700001},
doi = {10.1007/s11128-022-03476-y},
url = {https://juser.fz-juelich.de/record/910748},
}