Analog quantum approximate optimization algorithm

We present an analog version of the quantum approximate optimization algorithm suitable for current quantum annealers. The central idea of this algorithm is to optimize the schedule function, which defines the adiabatic evolution. It is achieved by choosing a suitable parametrization of the schedule...

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Detalhes bibliográficos
Autores: Barraza, Nancy Korina, Alvarado Barrios, Gabriel Dario, Peng, Jie, Lamata Manuel, Lucas, Solano, Enrique, Albarrán Arriagada, Francisco
Formato: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2022
País:España
Recursos:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/137335
Acesso em linha:https://hdl.handle.net/11441/137335
https://doi.org/10.1088/2058-9565/ac91f0
Access Level:acceso abierto
Palavra-chave:Quantum annealers
QAOA
Adiabatic evolution
Hybrid algorithms
Descrição
Resumo:We present an analog version of the quantum approximate optimization algorithm suitable for current quantum annealers. The central idea of this algorithm is to optimize the schedule function, which defines the adiabatic evolution. It is achieved by choosing a suitable parametrization of the schedule function based on interpolation methods for a fixed time, with the potential to generate any function. This algorithm provides an approximate result of optimization problems that may be developed during the coherence time of current quantum annealers on their way toward quantum advantage.