Enforcing exact permutation and rotational symmetries in the application of quantum neural networks on point cloud datasets
Recent developments in the field of quantum machine learning have promoted the idea of incorporating physical symmetries in the structure of quantum circuits. A crucial milestone in this area is the realization of S_{n}-permutation equivariant quantum neural networks (QNNs) that are equivariant unde...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Physical Society
2024-10-01
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| Colecção: | Physical Review Research |
| Acesso em linha: | http://doi.org/10.1103/PhysRevResearch.6.043028 |
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