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Filtros : "NAPOLITANO, REGINALDO DE JESUS" "2024" "IFSC" Removidos: "FISIOLOGIA" "Université Claude Bernard Lyon 1 - Centre National de la Recherche Scientifique - CNRS - Villeurbanne - France" "IFSC-FCI" Limpar

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  • Artigo de periodico

    Time-dependent Rabi frequencies to protect quantum operations on an atomic qutrit by continuous dynamical decoupling (2024)

    Silva, Adonai Hilário da ; Napolitano, Reginaldo de Jesus ; Fanchini, Felipe Fernandes ; Bellomo, Bruno

    Source: Physical Review A. Unidade: IFSC

    Subjects: FÍSICA TEÓRICA, MECÂNICA QUÂNTICA

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    • ABNT

      SILVA, Adonai Hilário da et al. Time-dependent Rabi frequencies to protect quantum operations on an atomic qutrit by continuous dynamical decoupling. Physical Review A, v. 109, n. 3, p. 032611-1-032611-13, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevA.109.032611. Acesso em: 11 out. 2024.

    • APA

      Silva, A. H. da, Napolitano, R. de J., Fanchini, F. F., & Bellomo, B. (2024). Time-dependent Rabi frequencies to protect quantum operations on an atomic qutrit by continuous dynamical decoupling. Physical Review A, 109( 3), 032611-1-032611-13. doi:10.1103/PhysRevA.109.032611

    • NLM

      Silva AH da, Napolitano R de J, Fanchini FF, Bellomo B. Time-dependent Rabi frequencies to protect quantum operations on an atomic qutrit by continuous dynamical decoupling [Internet]. Physical Review A. 2024 ; 109( 3): 032611-1-032611-13.[citado 2024 out. 11 ] Available from: https://doi.org/10.1103/PhysRevA.109.032611

    • Vancouver

      Silva AH da, Napolitano R de J, Fanchini FF, Bellomo B. Time-dependent Rabi frequencies to protect quantum operations on an atomic qutrit by continuous dynamical decoupling [Internet]. Physical Review A. 2024 ; 109( 3): 032611-1-032611-13.[citado 2024 out. 11 ] Available from: https://doi.org/10.1103/PhysRevA.109.032611

  • Artigo de periodico

    Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning (2024)

    Castelano, Leonardo Kleber ; Cunha, Iann ; Luiz, Fabricio Souza ; Napolitano, Reginaldo de Jesus ; Prado, Marcelo Velludo Souza ; Fanchini, Felipe Fernandes

    Source: Physical Review A. Unidade: IFSC

    Subjects: FÍSICA TEÓRICA, REDES NEURAIS, COMPUTAÇÃO QUÂNTICA, APRENDIZADO COMPUTACIONAL

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    • ABNT

      CASTELANO, Leonardo Kleber et al. Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning. Physical Review A, v. 110, n. 3, p. 032607-1-032607-8, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevA.110.032607. Acesso em: 11 out. 2024.

    • APA

      Castelano, L. K., Cunha, I., Luiz, F. S., Napolitano, R. de J., Prado, M. V. S., & Fanchini, F. F. (2024). Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning. Physical Review A, 110( 3), 032607-1-032607-8. doi:10.1103/PhysRevA.110.032607

    • NLM

      Castelano LK, Cunha I, Luiz FS, Napolitano R de J, Prado MVS, Fanchini FF. Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning [Internet]. Physical Review A. 2024 ; 110( 3): 032607-1-032607-8.[citado 2024 out. 11 ] Available from: https://doi.org/10.1103/PhysRevA.110.032607

    • Vancouver

      Castelano LK, Cunha I, Luiz FS, Napolitano R de J, Prado MVS, Fanchini FF. Combining physics-informed neural networks with the freezing mechanism for general Hamiltonian learning [Internet]. Physical Review A. 2024 ; 110( 3): 032607-1-032607-8.[citado 2024 out. 11 ] Available from: https://doi.org/10.1103/PhysRevA.110.032607

  • Artigo de periodico

    Optimized continuous dynamical decoupling via differential geometry and machine learning (2024)

    Morazotti, Nícolas André da Costa ; Silva, Adonai Hilário da ; Audi, Gabriel; Fanchin, Felipe Fernandes ; Napolitano, Reginaldo de Jesus

    Source: Physical Review A. Unidade: IFSC

    Subjects: GEOMETRIA, MÉTODOS MATEMÁTICOS DA FÍSICA, APRENDIZADO COMPUTACIONAL

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    • 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: 11 out. 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.110.042601

    • NLM

      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 out. 11 ] Available from: https://doi.org/10.1103/PhysRevA.110.042601

    • Vancouver

      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 out. 11 ] Available from: https://doi.org/10.1103/PhysRevA.110.042601
  • 1

1 - 3 (3 records)

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