New Pathways in Neutrino Physics via Quantum-Encoded Data Analysis
Jeffrey Lazar, Santiago Giner Olavarrieta, Giancarlo Gatti, Carlos A. Argüelles, and Mikel Sanz, arXiv:2402.19306 (2024)
On the existence of unbiased resilient estimators in discrete quantum systems
Javier Navarro, Ricard Ravell Rodríguez, and Mikel Sanz, arXiv:2402.15242 (2024)
Training embedding quantum kernels with data re-uploading quantum neural networks
Pablo Rodriguez-Grasa, Yue Ban, and Mikel Sanz, arXiv:2401.04642 (2024)
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, arXiv:2311.14546 (2023)
Quantum approximated cloning-assisted density matrix exponentiation
Pablo Rodriguez-Grasa, Ruben Ibarrondo, Javier Gonzalez-Conde, Yue Ban, Patrick Rebentrost, and Mikel Sanz, arXiv:2311.11751 (2023)
Photonic counterdiabatic quantum optimization algorithm
Pranav Chandarana, Koushik Paul, Mikel Garcia de Andoin, Yue Ban, Mikel Sanz, and Xi Chen, arXiv:2307.14853 (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)