Predicting properties of quantum thermal states from a single trajectory
The paper proposes using a single Gibbs-sampling trajectory to estimate thermal state properties, significantly reducing cost by focusing on autocorrelation time instead of full mixing time. By strategically interleaving measurements that satisfy detailed balance, samples become effectively independent much faster than the full mixing process, leading to substantial efficiency gains.