2023
DOI: 10.1016/j.asoc.2023.110456
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New coding scheme to compile circuits for Quantum Approximate Optimization Algorithm by genetic evolution

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Cited by 4 publications
(3 citation statements)
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“…In discussions surrounding simulation, researchers propose a solution known as DBGA-X to address the quantum circuit compilation problem (QCCP), facilitating the execution of quantum programs on actual quantum hardware (Arufe et al, 2023).…”
Section: Simulationmentioning
confidence: 99%
“…In discussions surrounding simulation, researchers propose a solution known as DBGA-X to address the quantum circuit compilation problem (QCCP), facilitating the execution of quantum programs on actual quantum hardware (Arufe et al, 2023).…”
Section: Simulationmentioning
confidence: 99%
“…In the last decade, variational quantum eigensolvers such as the quantum approximate optimization algorithm (QAOA) [1] have sparked the interest of the scientific community [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16], proving to be valuable tools in tackling the Hamiltonian-to-ground-state problem [1,[17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…Genetic algorithms have also been used in the field of electronics [25][26][27]. Genetic algorithms are also emerging in the field of computer systems [28][29][30][31]. At the same time, genetic algorithms are also popular in agriculture [32][33][34].…”
Section: Introductionmentioning
confidence: 99%