6 citations · 7 across the 4 of their papers we have counts for
4 papers
Constant-time equilibration of observables under rapid Lindbladian dynamics
Štěpán Šmíd, Richard Meister, Mario Berta +1
Markovian open-system dynamics have widespread applications throughout quantum information science, including algorithmic state preparation. Their convergence is commonly quantifie…
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…
Rapid Mixing of Quantum Gibbs Samplers for Weakly-Interacting Quantum Systems
Štěpán Šmíd, Richard Meister, Mario Berta +1
Dissipative quantum algorithms for state preparation in many-body systems are increasingly recognised as promising candidates for achieving large quantum advantages in application-…
Polynomial Time Quantum Gibbs Sampling for Fermi-Hubbard Model at any Temperature
Štěpán Šmíd, Richard Meister, Mario Berta +1
Recently, there have been several advancements in quantum algorithms for Gibbs sampling. These algorithms simulate the dynamics generated by an artificial Lindbladian, which is met…