4 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…