activity
20022025
most citedCavity Approach to the Spectral Density of Sparse Symmetric Random Matrices

148 citations · 457 across the 19 of their papers we have counts for

collaborators

18 papers

quant-ph2025

Tunable Entangling and Steering of Ferrimagnetic Magnons via an OptoMagnoMechanical Ring

Ziyad Imara, Isaac Pérez Castillo, Khadija El Anouz +1

Recently, magnomechanical systems have emerged as promising platforms for quantum technologies, exploiting magnon-photon-phonon interactions to store high-fidelity quantum informat…

q-bio.PE2020★ 20 cited

Using posterior predictive distributions to analyse epidemic models: COVID-19 in Mexico City

Ramsés H. Mena, Jorge X. Velasco-Hernandez, Natalia B. Mantilla-Beniers +4

Epidemiological models contain a set of parameters that must be adjusted based on available observations. Once a model has been calibrated, it can be used as a forecasting tool to…

cond-mat.stat-mech2019★ 35 cited

Intermediate deviation regime for the full eigenvalue statistics in the complex Ginibre ensemble

Bertrand Lacroix-A-Chez-Toine, Jeyson Andres Monroy Garzon, Christopher Sebastian Hidalgo Calva +4

We study the Ginibre ensemble of complex random matrices and compute exactly, for any finite , the full distribution as well as all the cumulants of the number $N_r…

quant-ph2018★ 3 cited

Testing Randomness in Quantum Mechanics

Aldo C. Martínez, Aldo Solís, Rafael Díaz Hernández Rojas +3

Pseudo-random number generators are widely used in many branches of science, mainly in applications related to Monte Carlo methods, although they are deterministic in design and, t…

cond-mat.stat-mech2018★ 10 cited

Universal behavior of the full particle statistics of one-dimensional Coulomb gases with an arbitrary external potential

Rafael Díaz Hernández Rojas, Christopher Sebastian Hidalgo Calva, Isaac Pérez Castillo

We present a complete theory for the full particle statistics of the positions of bulk and extremal particles in a one-dimensional Coulomb Gas (CG) with an arbitrary potential, in…

cond-mat.dis-nn2018★ 16 cited

Large deviation theory for diluted Wishart random matrices

Isaac Pérez Castillo, Fernando L. Metz

Wishart random matrices with a sparse or diluted structure are ubiquitous in the processing of large datasets, with applications in physics, biology and economy. In this work we de…