Neural quantum kernels: Training quantum kernels with quantum neural networks
Pablo Rodriguez-Grasa, Yue Ban, and Mikel Sanz, Phys. Rev. Research 7, 023269 (2025)
Dropout is all you need: robust two-qubit gate with reinforcement learning
Tian-Niu Xu, Yongcheng Ding, José D. Martín-Guerrero, and Xi Chen, arXiv:2312.06335 (2023)
Efficient Hamiltonian simulation for solving option price dynamics
Javier Gonzalez-Conde, Ángel Rodríguez-Rozas, Enrique Solano, and Mikel Sanz, Phys. Rev. Research 5, 043220 (2023)
Heisenberg-Limited Quantum Lidar for Joint Range and Velocity Estimation
Maximilian Reichert, Quntao Zhuang, and Mikel Sanz, Phys. Rev. Lett. 133, 130801 (2024)
Quantum approximated cloning-assisted density matrix exponentiation
Pablo Rodriguez-Grasa, Ruben Ibarrondo, Javier Gonzalez-Conde, Yue Ban, Patrick Rebentrost, and Mikel Sanz, Phys. Rev. Research 7, 013264 (2025)
Optimizing edge state transfer in a Su-Schrieffer-Heeger chain via hybrid digital-analog strategies
Sebastián V. Romero, Xi Chen, Gloria Platero, Yue Ban, Phys. Rev. Applied 21, 034033 (2024)
Scattering of relativistic electrons and analogies with optical phenomena: A study of longitudinal and transverse shifts at step potentials
Yue Ban and Xi Chen, Phys. Rev. A 108, 042218 (2023)
Efficient amplitude encoding of polynomial functions into quantum computers
Javier Gonzalez-Conde, Thomas W. Watts, Pablo Rodriguez-Grasa, and Mikel Sanz, arXiv:2307.10917 (2023)
Active Learning in Physics: From 101, to Progress, and Perspective
Yongcheng Ding, José D. Martín-Guerrero, Yolanda Vives-Gilabert, and Xi Chen, Adv Quantum Technol, 2300208 (2023)
Digital-Analog Quantum Computation with Arbitrary Two-Body Hamiltonians
Mikel Garcia-de-Andoin, Álvaro Saiz, Pedro Pérez-Fernández, Lucas Lamata, Izaskun Oregi, and Mikel Sanz, Phys. Rev. Research 6, 013280 (2024)
