Cargando…
Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization
Recently, inspired by quantum annealing, many solvers specialized for unconstrained binary quadratic programming problems have been developed. For further improvement and application of these solvers, it is important to clarify the differences in their performance for various types of problems. In t...
Autores principales: | Oshiyama, Hiroki, Ohzeki, Masayuki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828756/ https://www.ncbi.nlm.nih.gov/pubmed/35140264 http://dx.doi.org/10.1038/s41598-022-06070-5 |
Ejemplares similares
-
Sampling electronic structure quadratic unconstrained binary optimization problems (QUBOs) with Ocean and Mukai solvers
por: Teplukhin, Alexander, et al.
Publicado: (2022) -
Locking and restarting quadratic eigenvalue solvers
por: Meerbergen, K
Publicado: (1999) -
Quantum-Inspired Evolutionary Approach for the Quadratic Assignment Problem
por: Chmiel, Wojciech, et al.
Publicado: (2018) -
A Conjugate Gradient Algorithm with Function Value Information and N-Step Quadratic Convergence for Unconstrained Optimization
por: Li, Xiangrong, et al.
Publicado: (2015) -
Quantum inspired meta-heuristics for image analysis
por: Dey, Sandip, et al.
Publicado: (2019)