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Updated: Nov 19, 2025

Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
Relaxation dynamics through a conical intersection: Quantum and quantum-classical studies
Carlotta Pieroni1, Emanuele Marsili2, David Lauvergnat1
1Université Paris-Saclay, CNRS, Institut de Chimie Physique UMR8000, 91405 Orsay, France.
Investigating the photo-excited retinal chromophore relaxation, this study compares quantum-classical dynamics with exact quantum wavepacket dynamics. Initial condition sampling significantly impacts nonadiabatic dynamics simulations for rhodopsin
Area of Science:
- Theoretical Chemistry
- Photochemistry
- Molecular Dynamics
Background:
- Rhodopsin's visual cycle involves the photo-isomerization of the retinal chromophore.
- Understanding this process requires modeling nonadiabatic dynamics through conical intersections.
- A minimal two-electronic-state, two-dimensional Hamiltonian models key features of retinal isomerization.
Purpose of the Study:
- To analyze the relaxation dynamics of a photo-excited retinal chromophore model.
- To evaluate the performance of trajectory-based schemes for nonadiabatic dynamics.
- To investigate the impact of initial condition sampling on dynamics simulations.
Main Methods:
- Utilized a two-electronic-state, two-dimensional Hamiltonian based on Hahn and Stock.
- Compared quantum-classical trajectory simulations with numerically exact quantum vibronic wavepacket dynamics.
- Analyzed electronic and nuclear observables to assess dynamics.
Main Results:
- Quantum-classical methods were compared against exact quantum dynamics for accuracy.
- The influence of initial condition sampling on simulation outcomes was investigated.
- Performance of various nonadiabatic dynamics schemes was evaluated.
Conclusions:
- Initial condition sampling is a critical factor affecting the accuracy of nonadiabatic dynamics simulations.
- The study provides insights into the dynamics of photo-excited retinal chromophores.
- Findings aid in refining computational models for photochemical processes.
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