Dynamics of Open Quantum Systems with Initial System-Environment Correlations via Stochastic Unravelings
Federico Settimo, Kimmo Luoma, Dariusz Chruściński, Andrea Smirne, Bassano Vacchini, Jyrki Piilo
TL;DR
This work addresses open quantum systems with initial system–environment correlations by extending stochastic unravelings to the OPD/B+ framework. It develops a practical protocol to handle non-positive OPD components by decomposing them into positive parts and evolving each part with CPTP maps, then recombining to obtain the reduced state dynamics. The Adapted Projection Operator (APO) technique is introduced to systematically derive second-order generators for each OPD component, enabling tractable unravelings in Jaynes–Cummings, dephasing, and damped two-qubit models, including non-Markovian regimes. The results show that OPD unravelings can describe a large subspace of states obtainable via system-only repreparations, outperforming fixed-correlation approaches in scope and robustness, and providing powerful tools for accurate simulations and deeper understanding of correlated open-system dynamics.
Abstract
In standard treatments of open quantum systems, the reduced dynamics is described starting from the assumption that the system and the environment are initially uncorrelated. This assumption, however, is not always guaranteed in realistic scenarios and several theoretical approaches to characterize initially correlated dynamics have been introduced. For the uncorrelated scenario, stochastic unravelings are a powerful tool to simulate the dynamics, but so far they have not been used in the most general case in which correlations are initially present. In our work, we employ the bath positive (B+) or one-sided positive decomposition (OPD) formalism as a starting point to generalize stochastic unraveling in the presence of initial correlations. Noticeably, our approach doesn't depend on the particular unraveling technique, but holds for both piecewise deterministic and diffusive unravelings. This generalization allows not only for more powerful simulations for the reduced dynamics, but also for a deeper theoretical understanding of open system dynamics.
