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A study of the performance of classical minimizers in the Quantum Approximate Optimization Algorithm
The Quantum Approximate Optimization Algorithm (QAOA) was proposed as a way of finding good, approximate solutions to hard combinatorial optimization problems. QAOA uses a hybrid approach. A parametrized quantum state is repeatedly prepared and measured on a quantum computer to estimate its average...
Autores principales: | Fernández-Pendás, Mario, Combarro, Elías F, Vallecorsa, Sofia, Ranilla, José, Rúa, Ignacio F |
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Lenguaje: | eng |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1016/j.cam.2021.113388 http://cds.cern.ch/record/2852822 |
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