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Cited by 277

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Solution of the Redfield equation for the dissipative quantum dynamics of multilevel systems

Pollard, W. Thomas, Friesner, Richard A.·1994·The Journal of Chemical Physics

Abstract

We present a new method for solving the Redfield equation, which describes the evolution of the reduced density matrix of a multilevel quantum-mechanical system interacting with a thermal bath. The method is based on a new decomposition of the Redfield relaxation tensor that makes possible its direct application to the density matrix without explicit construction of the full tensor. In the resulting expressions, only ordinary matrices are involved and so any quantum system whose Hamiltonian can be diagonalized can be treated with the full Redfield theory. To efficiently solve the equation of motion for the density matrix, we introduce a generalization of the short-iterative-Lanczos propagator. Together, these contributions allow the complete Redfield theory to be applied to significantly larger systems than was previously possible. Several model calculations are presented to illustrate the methodology, including one example with 172 quantum states.

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Metadata

Authors
Pollard, W. T., & Friesner, R. A.
Venue
The Journal of Chemical Physics
Published
1994-04-01
Volume
100
Issue
7
Pages
5054-5065
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2028847674
Cited by
277
References
52
FWCI
10.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Solution of the Redfield equation for the dissipative quantum dynamics of multilevel systems. https://app.cochat.ai/papers/10.1063/1.467222
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Pollard, W. T., & Friesner, R. A. (1994). Solution of the Redfield equation for the dissipative quantum dynamics of multilevel systems. The Journal of Chemical Physics. https://doi.org/10.1063/1.467222

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.