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Dynamic Topology Reconfiguration of Boltzmann Machines on Quantum Annealers
Boltzmann machines have useful roles in deep learning applications, such as generative data modeling, initializing weights for other types of networks, or extracting efficient representations from high-dimensional data. Most Boltzmann machines use restricted topologies that exclude looping connectiv...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7711444/ https://www.ncbi.nlm.nih.gov/pubmed/33286970 http://dx.doi.org/10.3390/e22111202 |