3 papers
quant-ph2026
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…
quant-ph2026
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…
quant-ph2025
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…