Juan José García-Ripoll

According to our database, Juan José García-Ripoll authored at least 14 papers between 2001 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

High-Resolution Tensor-Network Fourier Methods for Exponentially Compressed Non-Gaussian Aggregate Distributions.

Juan José Rodríguez-Aldavero, Juan José García-Ripoll

CoRR, March, 2026

SeeMPS: A Python-based Matrix Product State and Tensor Train Library.

Paula García-Molina, Juan José Rodríguez-Aldavero, Jorge Gidi, Juan José García-Ripoll

CoRR, January, 2026

2025

Optimised feature subset selection via simulated annealing.

Fernando Martínez García, Alvaro Rubio García, Samuel Fernández-Lorenzo, Juan José García-Ripoll, Diego Porras

Mach. Learn. Sci. Technol., 2025

Pseudospectral method for solving PDEs using matrix product states.

Jorge Gidi, Paula García-Molina, Luca Tagliacozzo, Juan José García-Ripoll

J. Comput. Phys., 2025

2024

AutoQML: Automatic generation and training of robust quantum-inspired classifiers by using evolutionary algorithms on grayscale images.

Sergio Altares-López, Juan José García-Ripoll, Angela Ribeiro

Expert Syst. Appl., 2024

Chebyshev approximation and composition of functions in matrix product states for quantum-inspired numerical analysis.

Juan José Rodríguez-Aldavero, Paula García-Molina, Luca Tagliacozzo, Juan José García-Ripoll

CoRR, 2024

Optimal quantum circuit generation for pixel segmentation in multiband images.

Sergio Altares-López, Juan José García-Ripoll, Angela Ribeiro

Appl. Soft Comput., 2024

2022

AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images.

Sergio Altares-López, Juan José García-Ripoll, Angela Ribeiro

CoRR, 2022

2021

Visualizing the emission of a single photon with frequency and time resolved spectroscopy.

Aleksei Sharafiev, Mathieu L. Juan, Oscar Gargiulo, Maximilian Zanner, Stephanie Wögerer, Juan José García-Ripoll, Gerhard Kirchmair

Quantum, 2021

Quantum-inspired algorithms for multivariate analysis: from interpolation to partial differential equations.

Juan José García-Ripoll

Quantum, 2021

Automatic design of quantum feature maps.

Sergio Altares-López, Angela Ribeiro, Juan José García-Ripoll

CoRR, 2021

2020

Hybrid quantum-classical optimization for financial index tracking.

Samuel Fernández-Lorenzo, Diego Porras, Juan José García-Ripoll

CoRR, 2020

2003

A quasi-local Gross-Pitaevskii equation for attractive Bose-Einstein condensates.

Juan José García-Ripoll, Vladimir V. Konotop, Boris A. Malomed, Víctor M. Pérez-García

Math. Comput. Simul., 2003

2001

Optimizing Schrödinger Functionals Using Sobolev Gradients: Applications to Quantum Mechanics and Nonlinear Optics.

Juan José García-Ripoll, Víctor M. Pérez-García

SIAM J. Sci. Comput., 2001