2017
DOI: 10.1016/j.cpc.2017.07.024
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QmeQ 1.0: An open-source Python package for calculations of transport through quantum dot devices

Abstract: QmeQ is an open-source Python package for numerical modeling of transport through quantum dot devices with strong electron-electron interactions using various approximate master equation approaches. The package provides a framework for calculating stationary particle or energy currents driven by differences in chemical potentials or temperatures between the leads which are tunnel coupled to the quantum dots. The electronic structures of the quantum dots are described by their single-particle states and the Cou… Show more

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Cited by 25 publications
(24 citation statements)
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“…Compared to the Redfield approach, it provides results even closer to the exact solution and, most importantly, avoids negative probabilities. Lastly, we note that the simulations of the double-dot structure using PERLind, Redfield, and Pauli approaches were produced with the QMEQ package [46] using the kerntype options Lindblad, Redfield, and Pauli, respectively. This publicly available package allows to perform corresponding calculations for more complex systems in a straightforward way.…”
Section: Application 1: Spin-polarized Double-dot Structurementioning
confidence: 99%
“…Compared to the Redfield approach, it provides results even closer to the exact solution and, most importantly, avoids negative probabilities. Lastly, we note that the simulations of the double-dot structure using PERLind, Redfield, and Pauli approaches were produced with the QMEQ package [46] using the kerntype options Lindblad, Redfield, and Pauli, respectively. This publicly available package allows to perform corresponding calculations for more complex systems in a straightforward way.…”
Section: Application 1: Spin-polarized Double-dot Structurementioning
confidence: 99%
“…These parameters are motivated in the SI , where additional simulation details are given. All transport simulations are done with the open source simulation tool QMEQ [Quantum Master Equation for Quantum dot transport calculations] 54 with the recent inclusion of phonon scattering. 49 To model the side-heating, we assume the phonon temperature as the heating bias dV H should have a stronger impact on the phonons in the DQD than on the electrons in the leads, compare eq 2 which is simultaneously used here.…”
mentioning
confidence: 99%
“…Nonetheless, we have used the methods described in Refs. 36,39 to verify that processes which are next-to-leading order in the tunneling coupling do not affect our conclusions. It would be interesting to, in a future study, investigate the regime Γ T where cotunneling and other higher order tunnel processes become important.…”
Section: Discussionmentioning
confidence: 80%