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Published on: May 27, 2020
n-Mode Quantized Anharmonic Vibronic Hamiltonians for Matrix Product State Dynamics
Valentin Barandun1, Nina Glaser2, Markus Reiher1
1Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland.
This study introduces n-mode quantization for accurate quantum dynamics calculations of vibronic systems. The novel method enhances modeling of photochemical processes, improving spectral feature interpretation.
Area of Science:
- Quantum chemistry
- Theoretical chemistry
- Computational physics
Background:
- Accurate theoretical predictions of photochemical processes are crucial for understanding spectral features.
- Reliable quantum dynamics calculations necessitate precise modeling of anharmonic effects and nonadiabatic coupling terms in potential energy surfaces.
Purpose of the Study:
- To present the n-mode quantization of all vibronic Hamiltonian terms for high-dimensional model representations.
- To expand the vibrational Density Matrix Renormalization Group (DMRG) formalism by applying n-mode quantization to potential energy surfaces and coupling terms.
Main Methods:
- Implementation of n-mode quantization for all vibronic Hamiltonian terms.
- Development of a novel matrix product state architecture with tailored local site operators for efficient vibronic wave function encoding.
- Application of the time-dependent Density Matrix Renormalization Group (TD-DMRG) algorithm within a second-quantized framework.
Main Results:
- Demonstrated accurate and reliable excited-state quantum dynamics calculations for maleimide.
- Analyzed convergence and parameter choices for the TD-DMRG algorithm applied to the n-mode vibronic Hamiltonian.
- Established a robust framework for complex photochemical dynamics computations.
Conclusions:
- The developed n-mode quantization approach enables accurate calculations of complex photochemical dynamics.
- The novel matrix product state architecture provides an effective tensor-train format for vibronic wave functions.
- This work advances the computational modeling of vibronic systems in theoretical chemistry.
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