35 citations · 102 across the 6 of their papers we have counts for
6 papers
Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation
Oriel Kiss, Utkarsh Azad, Borja Requena +3
We investigate the feasibility of early fault-tolerant quantum algorithms focusing on ground-state energy estimation problems. In particular, we examine the computation of the cumu…
Quantitative evaluation of methods to analyze motion changes in single-particle experiments
Gorka Muñoz-Gil, Harshith Bachimanchi, Jesús Pineda +33
The analysis of live-cell single-molecule imaging experiments can reveal valuable information about the heterogeneity of transport processes and interactions between cell component…
Inferring pointwise diffusion properties of single trajectories with deep learning
Borja Requena, Sergi Masó, Joan Bertran +3
In order to characterize the mechanisms governing the diffusion of particles in biological scenarios, it is essential to accurately determine their diffusive properties. To do so,…
Modern applications of machine learning in quantum sciences
Anna Dawid, Julian Arnold, Borja Requena +26
In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learn…
Objective comparison of methods to decode anomalous diffusion
Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March +31
Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion fr…
Certificates of quantum many-body properties assisted by machine learning
Borja Requena, Gorka Muñoz-Gil, Maciej Lewenstein +2
Computationally intractable tasks are often encountered in physics and optimization. Such tasks often comprise a cost function to be optimized over a so-called feasible set, which…