Carlos Bravo-Prieto

According to our database, Carlos Bravo-Prieto authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

A PAC-Bayesian approach to generalization for quantum models.

Pablo Rodriguez-Grasa, Matthias C. Caro, Jens Eisert, Elies Gil-Fuster, Franz J. Schreiber, Carlos Bravo-Prieto

CoRR, March, 2026

2025

Prospects for quantum advantage in machine learning from the representability of functions.

Sergi Masot-Llima, Elies Gil-Fuster, Carlos Bravo-Prieto, Jens Eisert, Tommaso Guaita

CoRR, December, 2025

Double descent in quantum machine learning.

Marie C. Kempkes, Aroosa Ijaz, Elies Gil-Fuster, Carlos Bravo-Prieto, Jakob Spiegelberg, Evert P. L. van Nieuwenburg, Vedran Dunjko

CoRR, January, 2025

2023

Variational Quantum Linear Solver.

Carlos Bravo-Prieto, Ryan LaRose, Marco Cerezo, Yigit Subasi, Lukasz Cincio, Patrick J. Coles

Quantum, November, 2023

Understanding quantum machine learning also requires rethinking generalization.

Elies Gil-Fuster, Jens Eisert, Carlos Bravo-Prieto

CoRR, 2023

2022

Style-based quantum generative adversarial networks for Monte Carlo events.

Carlos Bravo-Prieto, Julien Baglio, Marco Cè, Anthony Francis, Dorota M. Grabowska, Stefano Carrazza

Quantum, 2022

2021

Quantum autoencoders with enhanced data encoding.

Carlos Bravo-Prieto

Mach. Learn. Sci. Technol., 2021

2020

Scaling of variational quantum circuit depth for condensed matter systems.

Carlos Bravo-Prieto, Josep Lumbreras-Zarapico, Luca Tagliacozzo, José I. Latorre

Quantum, 2020

Measuring the Tangle of Three-Qubit States.

Adrián Pérez-Salinas, Diego García-Martín, Carlos Bravo-Prieto, José I. Latorre

Entropy, 2020

Qibo: a framework for quantum simulation with hardware acceleration.

Stavros Efthymiou, Sergi Ramos-Calderer, Carlos Bravo-Prieto, Adrián Pérez-Salinas, Diego García-Martín, Artur García-Sáez, José I. Latorre, Stefano Carrazza

CoRR, 2020