38 citations · 63 across the 4 of their papers we have counts for
4 papers
Variational noise mitigation in quantum circuits: the case of Quantum Fourier Transform
Rafael Gómez-Lurbe, Alexander Bernal, Armando Pérez +2
We propose using variational quantum algorithms (VQAs) to simulate established quantum algorithms under realistic noise conditions, aiming to surpass the fidelity of theoretical ci…
Correcting Model Bias with Sparse Implicit Processes
Simón Rodríguez Santana, Luis A. Ortega, Daniel Hernández-Lobato +1
Model selection in machine learning (ML) is a crucial part of the Bayesian learning procedure. Model choice may impose strong biases on the resulting predictions, which can hinder…
Quantifying the reheating temperature of the universe
Anupam Mazumdar, Bryan Zaldívar
The aim of this paper is to determine an exact definition of the reheat temperature for a generic perturbative decay of the inflaton. In order to estimate the reheat temperature, t…
When LEP and Tevatron combined with WMAP and XENON100 shed light on the nature of Dark Matter
Yann Mambrini, Bryan Zaldívar
Recently, several astrophysical data or would-be signals has been observed in different dark-matter oriented experiments. In each case, one could fit the data at the price of speci…