Published October 13, 2015
| Version v1
Journal article
Microscopic treatment of energy dissipation and decoherence via many-body Lindblad superoperators
Creators
- 1. Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, I-10129 Torino (Italy)
Description
Starting from a recent reformulation of the Markov limit, we apply the mean- field approximation to the resulting Lindblad-type many-electron dynamics, and derive a closed equation of motion for the electronic single-particle density matrix in the presence of one- and two-body scattering mechanisms. The proposed formulation preserves the positive- definite character of the single-particle density matrix. This result is in striking contrast with conventional Markov approaches, where the single-particle mean-field equations can lead to positivity violations and therefore to unphysical results. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/647/1/012027Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 647
- Journal Issue
- 1
- Journal Page Range
- [4 p.]
- ISSN
- 1742-6596
Conference
- Title
- 19. international conference on electron dynamics in semiconductors, optoelectronics and nanostructures
- Acronym
- EDISON'19
- Dates
- 29 Jun - 2 Jul 2015
- Place
- Salamanca (Spain)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47108039
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- APPROXIMATIONS; DENSITY MATRIX; ELECTRONS; ENERGY LOSSES; EQUATIONS OF MOTION; FIELD EQUATIONS; MARKOV PROCESS; MEAN-FIELD THEORY; SCATTERING; SUPEROPERATORS; TWO-BODY PROBLEM
- Descriptors DEC
- CALCULATION METHODS; DIFFERENTIAL EQUATIONS; ELEMENTARY PARTICLES; EQUATIONS; FERMIONS; LEPTONS; LOSSES; MANY-BODY PROBLEM; MATHEMATICAL OPERATORS; MATRICES; PARTIAL DIFFERENTIAL EQUATIONS; STOCHASTIC PROCESSES