Repository
How to publish
Resources
FAQs

A study of the performance of classical minimizers in the quantum approximate optimization algorithm

Author:
Fernández Pendás, Mario; Fernández-Combarro Álvarez, ElíasUniovi authority; Vallecorsa, Sofía; Ranilla Pastor, JoséUniovi authority; Fernández Rúa, IgnacioUniovi authority
Publication date:
2022
Publisher version:
http://dx.doi.org/10.1016/j.cam.2021.113388
Citación:
Journal of Computational and Applied Mathematics, 404 (2022); doi:10.1016/j.cam.2021.113388
URI:
http://hdl.handle.net/10651/57971
ISSN:
0377-0427
DOI:
10.1016/j.cam.2021.113388
Patrocinado por:

This work was supported in part by the MINECO, Spain under Grant MTM-2017-83506-C2-2-P, by the MICINN, Spain under Grant RTI2018-098085-B-C44, and by the Gobierno del Principado de Asturias, Spain under grants FC-GRUPIN-IDI/2018/000193 and FC-GRUPIN-IDI/2018/000226.

Collections
Files in this item
Thumbnail
Métricas
Compartir
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record
© Elsevier B.V.
This item is protected with a Creative Commons License