Cargando…
Quantum annealing algorithms for Boolean tensor networks
Quantum annealers manufactured by D-Wave Systems, Inc., are computational devices capable of finding high-quality heuristic solutions of NP-hard problems. In this contribution, we explore the potential and effectiveness of such quantum annealers for computing Boolean tensor networks. Tensors offer a...
Autores principales: | Pelofske, Elijah, Hahn, Georg, O’Malley, Daniel, Djidjev, Hristo N., Alexandrov, Boian S. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123033/ https://www.ncbi.nlm.nih.gov/pubmed/35595786 http://dx.doi.org/10.1038/s41598-022-12611-9 |
Ejemplares similares
-
Parallel quantum annealing
por: Pelofske, Elijah, et al.
Publicado: (2022) -
Nonnegative/Binary matrix factorization with a D-Wave quantum annealer
por: O’Malley, Daniel, et al.
Publicado: (2018) -
Embedding Algorithms for Quantum Annealers with Chimera and Pegasus Connection Topologies
por: Zbinden, Stefanie, et al.
Publicado: (2020) -
Quantum algorithms for geologic fracture networks
por: Henderson, Jessie M., et al.
Publicado: (2023) -
Reverse annealing for nonnegative/binary matrix factorization
por: Golden, John, et al.
Publicado: (2021)