9 citations · 15 across the 5 of their papers we have counts for
5 papers
Quantum generative classification with mixed states
Diego H. Useche, Sergio Quiroga-Sandoval, Sebastian L. Molina +3
Classification can be performed using either a discriminative or a generative learning approach. Discriminative learning consists of constructing the conditional probability of the…
MEMO-QCD: Quantum Density Estimation through Memetic Optimisation for Quantum Circuit Design
Juan E. Ardila-García, Vladimir Vargas-Calderón, Fabio A. González +2
This paper presents a strategy for efficient quantum circuit design for density estimation. The strategy is based on a quantum-inspired algorithm for density estimation and a circu…
Quantum density estimation with density matrices: Application to quantum anomaly detection
Diego H. Useche, Oscar A. Bustos-Brinez, Joseph A. Gallego-Mejia +1
Density estimation is a central task in statistics and machine learning. This problem aims to determine the underlying probability density function that best aligns with an observe…
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…
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…