Cargando…
Adiabatic Quantum Computation Applied to Deep Learning Networks
Training deep learning networks is a difficult task due to computational complexity, and this is traditionally handled by simplifying network topology to enable parallel computation on graphical processing units (GPUs). However, the emergence of quantum devices allows reconsideration of complex topo...
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512898/ https://www.ncbi.nlm.nih.gov/pubmed/33265470 http://dx.doi.org/10.3390/e20050380 |