5 citations · 9 across the 9 of their papers we have counts for
9 papers · 1 filter
Classical and Quantum Machine Learning for Population-Level Prediction of Heat-Related Physiological Events
Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado +4
Predicting heat-related physiological events at the population level is challenging due to the complex interactions among climatic, demographic, and socioeconomic factors, as well…
Hydration Monitoring Using Urinary Biomarkers: A Hybrid Classical Quantum Predictive Modeling Framework
Saul Gonzalez-Bermejo, Tommaso Albrigi, Borja Vazquez-Morado +7
Hydration status is a key physiological indicator associated with cellular homeostasis, renal function, and overall health. Recent advances in smart sensing environments enable pas…
QMProt: A Comprehensive Dataset of Quantum Properties for Proteins
Laia Coronas Sala, Parfait Atchade-Adelemou
We introduce Quantum Mechanics for Proteins (QMProt), a dataset developed to support quantum computing applications in protein research. QMProt contains precise quantum-mechanical…
Quantum improvement in Spatial Discretization
Saul Gonzalez, Parfait Atchade-Adelomou
Quantum algorithms have begun to surpass classical ones in several computation fields, yet practical application remains challenging due to hardware and software limitations. Here,…
Efficient Quantum Modular Arithmetics for the ISQ Era
Parfait Atchade-Adelomou, Saul Gonzalez
As we venture into the Intermediate-Scale Quantum (ISQ) era, the proficiency of modular arithmetic operations becomes pivotal for advancing quantum cryptographic algorithms. This s…
Quantum Algorithms for solving Hard Constrained Optimisation Problems
Parfait Atchade-Adelomou
The thesis deals with Quantum Algorithms for solving Hard Constrained Optimization Problems. It shows how quantum computers can solve difficult everyday problems such as finding th…