Adaptive Numerical Solution of Kadanoff-Baym Equations
arXiv:2110.04793 · doi:10.21468/SciPostPhysCore.5.2.030
Abstract
A time-stepping scheme with adaptivity in both the step size and the integration order is presented in the context of non-equilibrium dynamics described via Kadanoff-Baym equations. The accuracy and effectiveness of the algorithm are analysed by obtaining numerical solutions of exactly solvable models. We find a significant reduction in the number of time-steps compared to fixed-step methods. Due to the at least quadratic scaling of Kadanoff-Baym equations, reducing the amount of steps can dramatically increase the accessible integration time, opening the door for the study of long-time dynamics in interacting systems. A selection of illustrative examples is provided, among them interacting and open quantum systems as well as classical stochastic processes. An open-source implementation of our algorithm in the scientific-computing language Julia is made available.
37 pages, 17 figures
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- The Two-Particle Irreducible Effective Action for Classical Stochastic Processes
- Schwinger-Keldysh non-perturbative field theory of open quantum systems beyond the Markovian regime: Application to spin-boson and spin-chain-boson models
- Compact representation and long-time extrapolation of real-time data for quantum systems using the ESPRIT algorithm
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