Neural networks for Bayesian quantum many-body magnetometry
Y. Ban, J. Casanova, and R. Puebla. arXiv:2212.12058 (2022)
A Neural Network Assisted 171Yb+ Quantum Magnetometer
X. Chen, Y. Ban, R. He, J.-M. Cui, Y.-F. Huang, C.-F. Li, G.-C. Guo, and J. Casanova, npj Quantum Inf 8, 152 (2022)
Phase-adaptive dynamical decoupling methods for robust spin-spin dynamics in trapped ions
L. Dong, I. Arrazola, X. Chen, and J. Casanova Phys. Rev. Applied 15, 034055 (2021).
Breaking Adiabatic Quantum Control with Deep Learning
Y. Ding, Y. Ban, J. D. Martín-Guerrero, E. Solano, J. Casanova, and X. Chen Phys. Rev. A 103, L040401 (2021)
Versatile Atomic Magnetometry Assisted by Bayesian Inference
R. Puebla, Y. Ban, J. F. Haase, M. B. Plenio, M. Paternostro, and J. Casanova Phys. Rev. Applied 16, 024044 (2021).
Neural-Network based parameter estimation for quantum detection
Y. Ban, J. Echanobe, Y. Ding, R. Puebla, and J. Casanova Quantum Science and technology 6, 045012 (2021)
Robust Detection of High-Frequency Signals at the Nanoscale.
C. Munuera-Javaloy; Y. Ban; X. Chen; J. Casanova. Phys. Rev. Applied 2020, 14, 054054.