Real-time simulations of dissipative quantum dynamics

MACGIC-QUAPI dissipative quantum dynamics:

Systems of biological or technical relevance are often characterized by tremendous complexity, which leads to challenges for ab initio descriptions of the molecular dynamics. A way out is provided via a description in the system-bath formalism. However, situations in which the "slow" and structured protein environment leads to system-bath memory times of considerable length (non-Markovian memory) still pose extreme challenges to the description of such dissipative quantum dynamics.

We have developed a non-perturbative path integration method that allows to describe quantum dynamics subject to the coupling to a thermal bath [1]. The method, called MACGIC-QUAPI, is based on an intermediate coarse-grained representation of the quasi-adiabatic propagator path integral and provides a rigorous treatment of non-Markovian memory effects. The method exploits physical properties of the bath correlation function that allow for a non-equidistant, coarse-grained representation of the Feynman-Vernon influence functional and, thus, a decoupling of the total system bath memory time from the number of considered Feynman paths. The method makes long bath correlation times accessible. Due to the significant numerical speed-up, the method brings larger systems [2] and more complex environments [3] into reach and has great potential for simulations of biophysical processes.

 

Light-induced energy and charge transfer dynamics: 

Starting from ab initio descriptions of molecular Hamiltonians, we aim to describe dissipative quantum dynamics in complex biological environments. Examples are the exciton coupled charge transfer dynamics in a model of teh bacterial reaction centre B. Viridis [2] and the charge transfer dynamics initiated by photoexcitation of the FAD cofactor in the Photolyase / Cryptochrome superfamily [4,5].

Key publications

1. Richter M., Fingerhut B.P., “Coarse-grained representation of the quasi adiabatic propagator path integral for the treatment of non-Markovian long-time bath memory.” J Chem Phys. 146, 214101 (2017). DOI
2. Richter M., Fingerhut B.P., “Coupled excitation energy and charge transfer dynamics in reaction centre inspired model systems.” Faraday Discuss. 216, 72-93 (2019). DOI
3. Acharyya N., Ovcharenko R., “On the role of non-diagonal system–environment interactions in bridge-mediated electron transfer.” J. Chem. Phys. 153, 185101 (2020). DOI
4. M. Richter, Fingerhut B.P., “Regulatory impact of the C-terminal tail on charge transfer pathways in Drosophila Cryptochrome.” Molecules Chem. Phys. 25, 4810 (2020). DOI
5. M. Oßwald, B. P. Fingerhut, “Electron Transfer Induced Active Site Structural Relaxation in 64-Photolyase of Drosophila Melanogaster.” J. Phys. Chem B 125, 8690-8702 (2021). DOI