3 papers
Entanglement and discord classification via deep learning
Katherine Muñoz-Mellado, Daniel Uzcátegui-Contreras, Antonio Guerra +2
In this work, we propose a deep learning-based approach for quantum entanglement and discord classification using convolutional autoencoders. We train models to distinguish entangl…
Interpolation of unitaries with time-dependent Hamiltonians via Deep Learning
Antonio Guerra, Daniel Uzcategui-Contreras, Aldo Delgado +1
Quantum systems governed by time-dependent Hamiltonians pose significant challenges for the accurate computation of unitary time-evolution operators, which are essential for predic…
Machine Learning approach to reconstruct Density Matrices from Quantum Marginals
Daniel Uzcategui-Contreras, Antonio Guerra, Sebastian Niklitschek +1
In this work, we propose a machine learning-based approach to address a specific aspect of the Quantum Marginal Problem: reconstructing a global density matrix compatible with a gi…