Assessment of Quantum Annealing for the Construction of Satisfiability Filters
2017; SciPost.org; Volume: 2; Issue: 2 Linguagem: Inglês
10.21468/scipostphys.2.2.013
ISSN2542-4653
AutoresMarlon Azinović, Daniel Herr, Bettina Heim, Ethan Brown, Matthias Troyer,
Tópico(s)Machine Learning and Algorithms
ResumoSatisfiability filters, introduced by S. A. Weaver et al. in 2014, are a new and promising type of filters to address set membership testing. In order to construct satisfiability filters, it is necessary to find disparate solutions to hard random $k$-SAT problems. This paper compares simulated annealing, simulated quantum annealing and walkSAT, an open-source SAT solver, in terms of their ability to find such solutions. The results indicate that solutions found by simulated quantum annealing are generally less disparate than solutions found by the other solvers and therefore less useful for the construction of satisfiability filters.
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