Efficient simulation of non-Markovian system-environment interaction
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Rosenbach, Robert; Cerrillo Moreno, Javier; Huelga, Susana F.; Cao, Jianshu; Plenio, Martin B.Área de conocimiento
Física AplicadaPatrocinadores
This work was supported by the Alexander von Humboldt-Professorship, the EUIntegrating project SIQS, the EUSTREP projects PAPETS, QUCHIP and EQUAM, National Science Foundation (NSF) (Grant No. CHE-1112825) and Defense Advanced Research Projects Agency (DARPA) (Grant No. N99001-10-1-4063), the MITGermany Seed Fund, and the ERC Synergy grant BioQ. Computational resources used included bwUniCluster, supported by the Ministry of Science, Research and the Arts Baden-Württemberg and the Universities of the State of Baden-Württemberg, Germany, within the framework program bwHPC.Fecha de publicación
2016-02-08Editorial
Deutsche Physikalische Gesellschaft / Institute of PhysicsCita bibliográfica
ROSENBACH, Robert, et al. Efficient simulation of non-Markovian system-environment interaction. New Journal of Physics, 2016, vol. 18, no 2, p. 023035. DOI 10.1088/1367-2630/18/2/023035Revisión por pares
siPalabras clave
Open quantum systemsQuantum dissipation
Non-Markovian dynamics
Nakajima–Zwanzig equation
Density matrix renormalization group
Resumen
In this work, we combine an established method for open quantum systems—the time evolving density matrix using orthogonal polynomials algorithm—with the transfer tensors formalism, a new tool for the analysis, compression and propagation of non-Markovian processes. A compact propagator is generated out of sample trajectories covering the correlation time of the bath. This enables the investigation of previously inaccessible long-time dynamics with linear effort, such as those ensuing from low temperature regimes with arbitrary, possibly highly structured, spectral densities. We briefly introduce both methods, followed by a benchmark to prove viability and combination synergies. Subsequently we illustrate the capabilities of this approach at the hand of specific examples and conclude our analysis by highlighting possible further applications of our method.
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