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A study of the performance of classical minimizers in the Quantum Approximate Optimization Algorithm

Mario Fernández-Pendás, Elías F. Combarro, S. Vallecorsa, José Ranilla, I. F. Rúa

2021Journal of Computational and Applied Mathematics50 citationsDOI

Topics & Concepts

MathematicsIterated functionConvergence (economics)AlgorithmQuantumSet (abstract data type)Quantum algorithmMathematical optimizationQuantum computerProcess (computing)Energy (signal processing)Noise (video)Applied mathematicsComputer scienceArtificial intelligenceMathematical analysisImage (mathematics)StatisticsQuantum mechanicsOperating systemPhysicsEconomicsProgramming languageEconomic growthQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyParallel Computing and Optimization Techniques
A study of the performance of classical minimizers in the Quantum Approximate Optimization Algorithm | Litcius