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Published on: December 4, 2017
Approximate but accurate quantum dynamics from the Mori formalism: I. Nonequilibrium dynamics
Andrés Montoya-Castillo1, David R Reichman1
1Department of Chemistry, Columbia University, New York, New York 10027, USA.
This study unifies Nakajima-Zwanzig and Mori theories for nonequilibrium dynamics. The new formalism improves upon standard quasi-classical methods by providing a self-consistent memory kernel for reduced density matrix dynamics.
Area of Science:
- Quantum dynamics
- Statistical mechanics
- Theoretical chemistry
Background:
- Reduced density matrix dynamics are crucial for understanding open quantum systems.
- Existing methods like Nakajima-Zwanzig and Mori theory have limitations in nonequilibrium scenarios.
- Quasi-classical methods offer computational advantages but often lack accuracy.
Purpose of the Study:
- To present a unified theoretical framework combining Nakajima-Zwanzig and Mori theories.
- To develop a self-consistent equation for the memory kernel in nonequilibrium dynamics.
- To improve the accuracy of quasi-classical dynamics for open quantum systems.
Main Methods:
- A Dyson-type expansion is employed to derive the self-consistent memory kernel equation.
- The spin-boson model is used as a test case.
- Quasi-classical dynamics (Ehrenfest method) are utilized for auxiliary kernel calculations.
- Analysis of different projection operators (thermal and population-based) and auxiliary kernel closures.
Main Results:
- A novel formalism explicitly unifying Nakajima-Zwanzig and Mori theories is presented.
- A self-consistent equation for the memory kernel is derived, requiring only auxiliary kernels.
- Detailed analysis of memory kernel properties based on projection operators and auxiliary kernel closures.
- Demonstration of significant improvements over standard semi- and quasi-classical dynamics.
Conclusions:
- The developed formalism offers a versatile and accurate approach to nonequilibrium dynamics.
- The method provides a pathway to improved predictions for open quantum systems.
- Understanding memory kernel properties aids in selecting appropriate parameter spaces and computational strategies.
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