3 papers
quant-ph2026
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…
quant-ph2026
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…
quant-ph2025
Efficient state estimation on quantum processors
Victor Gonzalez Avella, Abraham Vega Vargas, Tomas Merlo Vergara +6
We present two scalable and entanglement-free methods for estimating the collective state of an n-qubit quantum computer. The first method consists of a fixed set of five quantum c…