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)
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 (2024)
On the existence of unbiased resilient estimators in discrete quantum systems
Javier Navarro, Ricard Ravell Rodríguez, and Mikel Sanz, arXiv:2402.15242 (2024)
Benchmarking hybrid digitized-counterdiabatic quantum optimization
Ruoqian Xu, Jialiang Tang, Pranav Chandarana, Koushik Paul, Xusheng Xu, Manhong Yung, and Xi Chen, Phys. Rev. Research 6, 013147 (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)
Closed-loop control of a noisy qubit with reinforcement learning
Yongcheng Ding, Xi Chen, R. Magdalena-Benedito, and J. D Martín-Guerrero, Mach. Learn.: Sci. Technol. 4 025020 (2023)