activity
20242026
most citedUniversal Resources for QAOA and Quantum Annealing

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification

Guillermo Rubiños Rodríguez, Martín Ottavianelli, Mateo Alonso +4

Numerous studies have analyzed the use of hybrid quantum-classical convolutional neural networks as a promising alternative to classical deep learning. However, network components…

quant-ph20263 cited

Universal Resources for QAOA and Quantum Annealing

Pablo Díez-Valle, Fernando J. Gómez-Ruiz, Diego Porras +1

The Quantum Approximate Optimization Algorithm (QAOA) is a variational ansatz that resembles the Trotterized dynamics of a Quantum Annealing (QA) protocol. This work formalizes thi…

quant-ph2026

Physics-Inspired Extrapolation for efficient error mitigation and hardware certification

Pablo Díez-Valle, Gaurav Saxena, Jack S. Baker +2

Quantum error mitigation (QEM) is essential for the noisy intermediate-scale quantum era, and will remain relevant for early fault-tolerant quantum computers, where logical error r…

quant-ph2025

Error-Mitigation Enabled Multicomponent Quantum Simulations Beyond the Born-Oppenheimer Approximation

Delmar G. A. Cabral, Brandon Allen, Fabijan Pavošević +6

We introduce a multicomponent unitary coupled cluster framework for quantum simulations of molecular systems that incorporate both electronic and nuclear quantum effects beyond the…

cond-mat.stat-mech2024

Learning Generalized Statistical Mechanics with Matrix Product States

Pablo Díez-Valle, Fernando Martínez-García, Juan José García-Ripoll +1

We introduce a variational algorithm based on Matrix Product States that is trained by minimizing a generalized free energy defined using Tsallis entropy instead of the standard Gi…