Quantum data learning for quantum simulations in high-energy physics
Quantum machine learning with parametrised quantum circuits has attracted significant attention over the past years as an early application for the era of noisy quantum processors. However, the possibility of achieving concrete advantages over classical counterparts in practical learning tasks is ye...
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| Autores principales: | , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Physical Society
2023-12-01
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| Colección: | Physical Review Research |
| Acceso en línea: | http://doi.org/10.1103/PhysRevResearch.5.043250 |
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