Digital-Analog Quantum Simulation of Fermionic Models
Lucas C. Céleri, Daniel Huerga, Francisco Albarrán-Arriagada, Enrique Solano, Mikel Garcia de Andoin, and Mikel Sanz, Phys. Rev. Applied 19, 064086 (2023)
Quantum neural networks with multi-qubit potentials
Yue Ban, E. Torrontegui and J. Casanova, Scientific Reports 13, 9096 (2023)
Resilient superconducting-element design with genetic algorithms
F. A. Cárdenas-López, J. C. Retamal, Xi Chen, G. Romero, and M. Sanz. arXiv:2302.01837 (2023)
Random access codes via quantum contextual redundancy
G. Gatti, D. Huerga, E. Solano, and M. Sanz. Quantum 7, 895 (2023)
Neural networks for Bayesian quantum many-body magnetometry
Y. Ban, J. Casanova, and R. Puebla. arXiv:2212.12058 (2022)
Robust Control of Linear Systems and Shortcut to Adiabaticity Based on Superoscillations
Q. Zhang, X. Chen, and D. Guéry-Odelin Phys. Rev. Applied 18, 054055 (2022)
Digitized counterdiabatic quantum optimization
N. N. Hegade, X. Chen and E. Solano Phys. Rev. Research 4, L042030 (2022)
Robust Oscillator-Mediated Phase Gates Driven by Low-Intensity Pulses
I. Arrazola, and J. Casanova, Commun Phys 6, 123 (2023)
Bi-Frequency Illumination: A Quantum-Enhanced Protocol
M. Casariego, Y. Omar, and M. Sanz, Adv. Quantum Technol., 2100051 (2022)
Superconducting circuit architecture for digital-analog quantum computing
J. Yu, J. C. Retamal, M. Sanz, E. Solano, and F. Albarrán Arriagada EPJ Quantum Technol. 9, 9 (2022)