Unsupervised interpretable learning of phases from many-qubit systems
Experimental progress in qubit manufacturing calls for the development of new theoretical tools to analyze quantum data. We show how an unsupervised machine-learning technique can be used to understand short-range entangled many-qubit systems using data of local measurements. The method successfully...
Kaydedildi:
| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
American Physical Society
2023-02-01
|
| Seri Bilgileri: | Physical Review Research |
| Online Erişim: | http://doi.org/10.1103/PhysRevResearch.5.013082 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|