| Autor: |
Fabian Böhm, Diego Alonso-Urquijo, Guy Verschaffelt, Guy Van der Sande |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-33441-3 |
| Popis: |
Ising machines are accelerators for computing difficult optimization problems. In this work, Böhm et al. demonstrate a method that extends their use to perform statistical sampling and machine learning orders-of-magnitudes faster than digital computers. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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