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Garden optimization problems for benchmarking quantum annealers

Gonzalez Calaza, Carlos D., Willsch, Dennis, Michielsen, Kristel Francine

2021RWTH Publications (RWTH Aachen)21 citationsDOIOpen Access PDF

Abstract

We benchmark the 5000+ qubit system Advantage coupled with the Hybrid Solver Service 2 released by D-Wave Systems Inc. in September 2020 by using a new class of optimization problems called garden optimization problems known in companion planting. These problems are scalable to an arbitrarily large number of variables and intuitively find application in real-world scenarios. We derive their QUBO formulation and illustrate their relation to the quadratic assignment problem. We demonstrate that the Advantage system and the new hybrid solver can solve larger problems in less time than their predecessors. However, we also show that the solvers based on the 2000+ qubit system DW2000Q sometimes produce more favourable results if they can solve the problems.

Topics & Concepts

Benchmark (surveying)QubitComputer scienceSolverQuadratic unconstrained binary optimizationScalabilityQuantum computerOptimization problemMathematical optimizationQuantumBenchmarkingQuantum annealingTheoretical computer scienceAlgorithmMathematicsQuantum mechanicsPhysicsMarketingGeodesyGeographyDatabaseBusinessQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyAdvanced Optimization Algorithms Research
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