5 papers
Continuous-Variable Quantum State Tomography Enabled by Quantum Mirrors
Mariano Uria, Amaru Moya, Carla Hermann-Avigliano +2
In quantum technologies, continuous-variable systems offer advantages over their discrete counterparts. However, continuous-variable tomography suffers from exponentially growing s…
Rigorous quantum state tomography for distributed quantum computing
Hans Mättig-Vásquez, Aldo Delgado, Luciano Pereira
Distributed quantum computing offers a promising approach to scaling quantum devices by networking multiple quantum processors. We present a quantum state tomography protocol tailo…
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…
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…