activity
20172021
most citedLearning with Density Matrices and Random Features

27 citations · 58 across the 7 of their papers we have counts for

collaborators

8 papers

quant-ph2021★ 9 cited

Quantum Measurement Classification with Qudits

Diego H. Useche, Andres Giraldo-Carvajal, Hernan M. Zuluaga-Bucheli +2

This paper presents a hybrid classical-quantum program for density estimation and supervised classification. The program is implemented as a quantum circuit in a high-dimensional q…

cs.CV2021

Prostate Tissue Grading with Deep Quantum Measurement Ordinal Regression

Santiago Toledo-Cortés, Diego H. Useche, Fabio A. González

Prostate cancer (PCa) is one of the most common and aggressive cancers worldwide. The Gleason score (GS) system is the standard way of classifying prostate cancer and the most reli…

quant-ph2021★ 10 cited

Many-Qudit representation for the Travelling Salesman Problem Optimisation

Vladimir Vargas-Calderón, Nicolas Parra-A., Herbert Vinck-Posada +1

We present a map from the travelling salesman problem (TSP), a prototypical NP-complete combinatorial optimisation task, to the ground state associated with a system of many-qudits…

cs.LG2021★ 27 cited

Learning with Density Matrices and Random Features

Fabio A. González, Alejandro Gallego, Santiago Toledo-Cortés +1

A density matrix describes the statistical state of a quantum system. It is a powerful formalism to represent both the quantum and classical uncertainty of quantum systems and to e…

cs.CV2020

Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification

Santiago Toledo-Cortés, Melissa De La Pava, Oscar Perdómo +1

Diabetic Retinopathy (DR) is one of the microvascular complications of Diabetes Mellitus, which remains as one of the leading causes of blindness worldwide. Computational models ba…

cs.LG2020★ 3 cited

Dissimilarity Mixture Autoencoder for Deep Clustering

Juan S. Lara, Fabio A. González

The dissimilarity mixture autoencoder (DMAE) is a neural network model for feature-based clustering that incorporates a flexible dissimilarity function and can be integrated into a…

cond-mat.dis-nn2020★ 9 cited

Phase diagram reconstruction of the Bose-Hubbard model with a Restricted Boltzmann Machine wavefunction

Vladimir Vargas-Calderón, Herbert Vinck-Posada, Fabio A. González

Recently, the use of neural quantum states for describing the ground state of many- and few-body problems has been gaining popularity because of their high expressivity and ability…

math.RA2017

Orthosymplectic Jordan superalgebras and the Wedderburn principal theorem (WPT)

F. A. Gómez González, R. Velásquez

An analogue of the Wedderbur principal theorem (WPT) is considered for finite dimensional Jordan superalgebras A with solvable radical N, such that N^2=0 and A/N is isomorphic to J…