Optimized continuous dynamical decoupling via differential geometry and machine learning (2024)
Source: Physical Review A. Unidade: IFSC
Subjects: GEOMETRIA, MÉTODOS MATEMÁTICOS DA FÍSICA, APRENDIZADO COMPUTACIONAL
ABNT
MORAZOTTI, Nícolas André da Costa et al. Optimized continuous dynamical decoupling via differential geometry and machine learning. Physical Review A, v. 110, n. 4, p. 042601-1-042601-14, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevA.110.042601. Acesso em: 18 nov. 2024.APA
Morazotti, N. A. da C., Silva, A. H. da, Audi, G., Fanchin, F. F., & Napolitano, R. de J. (2024). Optimized continuous dynamical decoupling via differential geometry and machine learning. Physical Review A, 110( 4), 042601-1-042601-14. doi:10.1103/PhysRevA.110.042601NLM
Morazotti NA da C, Silva AH da, Audi G, Fanchin FF, Napolitano R de J. Optimized continuous dynamical decoupling via differential geometry and machine learning [Internet]. Physical Review A. 2024 ; 110( 4): 042601-1-042601-14.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1103/PhysRevA.110.042601Vancouver
Morazotti NA da C, Silva AH da, Audi G, Fanchin FF, Napolitano R de J. Optimized continuous dynamical decoupling via differential geometry and machine learning [Internet]. Physical Review A. 2024 ; 110( 4): 042601-1-042601-14.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1103/PhysRevA.110.042601