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Published on: May 27, 2020
Reduced density matrix hybrid approach: application to electronic energy transfer
Timothy C Berkelbach1, Thomas E Markland, David R Reichman
1Department of Chemistry, Columbia University, 3000 Broadway, New York, New York 10027, USA. tcb2112@columbia.edu
This study introduces a hybrid quantum-classical method to accurately model electronic energy transfer in complex systems like photosynthesis. The approach effectively captures dynamics in challenging regimes where system and environment energy scales are similar.
Area of Science:
- Quantum dynamics
- Condensed matter physics
- Photosynthesis research
Background:
- Electronic energy transfer in condensed phases, crucial for processes like photosynthesis, often involves similar energy scales between the system and its environment.
- Theoretical modeling of these systems is challenging due to limitations of existing methods in such energetic regimes.
Purpose of the Study:
- To develop a robust theoretical framework for describing electronic energy transfer in challenging condensed-phase environments.
- To accurately simulate energy transfer dynamics in photosynthetic complexes and model systems.
Main Methods:
- Utilizing the Ehrenfest approach to handle coupling with slow environmental modes.
- Employing a reduced density matrix hybrid framework to quantum mechanically treat faster environmental modes via a perturbative master equation.
Main Results:
- The combined Ehrenfest and reduced density matrix approach provides an efficient and quantitative description of electronic energy transfer.
- The method accurately models energy transfer in a model dimer and the Fenna-Matthews-Olson complex.
- Investigated the impact of environmental preparation on the resulting energy transfer dynamics.
Conclusions:
- The developed hybrid quantum-classical method offers a significant advancement for studying electronic energy transfer in complex systems.
- This approach is particularly effective in regimes where system and environmental energy scales are comparable, overcoming limitations of traditional methods.
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