001     916861
005     20230123101911.0
024 7 _ |a 2128/33403
|2 Handle
037 _ _ |a FZJ-2023-00153
041 _ _ |a English
100 1 _ |a Mehta, Vrinda
|0 P:(DE-Juel1)176997
|b 0
|e Corresponding author
111 2 _ |a International workshop of many-body systems out of equilibrium: recent advances and future directions
|c Logar Valley
|d 2022-09-19 - 2022-09-23
|w Slovenia
245 _ _ |a On the hardness of quadratic unconstrained binary optimization problems
260 _ _ |c 2022
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
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520 _ _ |a We use exact enumeration to characterize the solutions of quadratic unconstrained binary optimization problems of less than 21 variables in terms of their distributions of Hamming distances to close-by solutions. We also perform experiments with the D-Wave Advantage 5.1 quantum annealer, solving many instances of up to 170-variable, quadratic unconstrained binary optimization problems. Our results demonstrate that the exponents characterizing the success probability of a D-Wave annealer to solve a QUBO correlate very well with the predictions based on the Hamming distance distributions computed for small problem instances.
536 _ _ |a 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
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700 1 _ |a Jin, Fengping
|0 P:(DE-Juel1)144355
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700 1 _ |a Michielsen, Kristel
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700 1 _ |a De Raedt, Hans
|0 P:(DE-Juel1)179169
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856 4 _ |u https://juser.fz-juelich.de/record/916861/files/QUBO_V.pdf
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913 1 _ |a DE-HGF
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|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
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914 1 _ |y 2022
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