26 citations · 51 across the 8 of their papers we have counts for
8 papers
Convergence monitoring of quantum Gibbs samplers
Nikolaos Louloudis, Ruben Ibarrondo, Mikel Sanz +1
Recent progress in fully quantum Markov chain Monte Carlo methods enables efficient Gibbs-state sampling on quantum computers [Chen et al., Nature 646, 561 (2025)]. Although rigoro…
Contraction and Expansion Values of Quantum Channels
Ruben Ibarrondo, Mikel Sanz
The contraction coefficient of the trace distance is a central tool in quantum information, quantifying how strongly a quantum channel degrades the distinguishability of states. Ho…
Average Contraction Coefficients of Quantum Channels
Ruben Ibarrondo, Daniel Stilck França
The data-processing inequality ensures quantum channels reduce state distinguishability, with contraction coefficients quantifying optimal bounds. However, these can be overly opti…
Quantum approximated cloning-assisted density matrix exponentiation
Pablo Rodriguez-Grasa, Ruben Ibarrondo, Javier Gonzalez-Conde +3
Classical information loading is an essential task for many processing quantum algorithms, constituting a cornerstone in the field of quantum machine learning. In particular, the e…
Digital-analog co-design of the Harrow-Hassidim-Lloyd algorithm
Ana Martin, Ruben Ibarrondo, Mikel Sanz
The Harrow-Hassidim-Lloyd quantum algorithm was proposed to solve linear systems of equations and it is the core of various applications. However, there is not…
Quantum vs classical genetic algorithms: A numerical comparison shows faster convergence
Rubén Ibarrondo, Giancarlo Gatti, Mikel Sanz
Genetic algorithms are heuristic optimization techniques inspired by Darwinian evolution. Quantum computation is a new computational paradigm which exploits quantum resources to sp…
Quantum Genetic Algorithm with Individuals in Multiple Registers
Rubén Ibarrondo, Giancarlo Gatti, Mikel Sanz
Genetic algorithms are heuristic optimization techniques inspired by Darwinian evolution, which are characterized by successfully finding robust solutions for optimization problems…
Forecasting Election Polls with Spin Systems
Ruben Ibarrondo, Mikel Sanz, Roman Orus
We show that the problem of political forecasting, i.e, predicting the result of elections and referendums, can be mapped to finding the ground state configuration of a classical s…