Publication | Open Access
Combining the mapping Hamiltonian linearized semiclassical approach with the generalized quantum master equation to simulate electronically nonadiabatic molecular dynamics
50
Citations
93
References
2019
Year
Quantum DynamicEngineeringMany-body Quantum PhysicComputational ChemistryMolecular DynamicsHamiltonian TheoryQuantum ComputingQuantum Machine LearningQuantum SimulationBiophysicsQuantum SciencePhysicsQuantum ChemistryMemory KernelMemory KernelsNonadiabatic Molecular DynamicsNatural SciencesQuantum SystemMapping HamiltonianQuantum ChaosHamiltonian System
The generalized quantum master equation (GQME) provides a powerful framework for simulating electronically nonadiabatic molecular dynamics. Within this framework, the effect of the nuclear degrees of freedom on the time evolution of the electronic reduced density matrix is fully captured by a memory kernel superoperator. In this paper, we consider two different procedures for calculating the memory kernel of the GQME from projection-free inputs obtained via the combination of the mapping Hamiltonian (MH) approach and the linearized semiclassical (LSC) approximation. The accuracy and feasibility of the two procedures are demonstrated on the spin-boson model. We find that although simulating the electronic dynamics by direct application of the two LSC-based procedures leads to qualitatively different results that become increasingly less accurate with increasing time, restricting their use to calculating the memory kernel leads to an accurate description of the electronic dynamics. Comparison with a previously proposed procedure for calculating the memory kernel via the Ehrenfest method reveals that MH/LSC methods produce memory kernels that are better behaved at long times and lead to more accurate electronic dynamics.
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