2 papers
quant-ph2026
Efficient simulation of noisy entanglement generation
Lorenzo Brevi, Federico Grasselli, Alessandro Caraceni +3
End-to-end entanglement distribution is a key capability of upcoming quantum networks, enabling applications like distributed quantum computing, quantum sensor networks, and secure…
physics.comp-ph2026
Addressing the ground state of the deuteron by physics-informed neural networks
Lorenzo Brevi, Antonio Mandarino, Carlo Barbieri +1
Machine learning techniques have proven to be effective in addressing the structure of atomic nuclei. PhysicsInformed Neural Networks (PINNs) are a promising machine learning te…