2018
DOI: 10.1007/s11082-018-1377-4
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Performance evaluation of numerical methods for the Maxwell–Liouville–von Neumann equations

Abstract: The Maxwell-Liouville-von Neumann (MLN) equations are a valuable tool in nonlinear optics in general and to model quantum cascade lasers (QCLs) in particular. Several numerical methods to solve these equations with different accuracy and computational complexity have been proposed in related literature. We present an open-source framework for solving the MLN equations and parallel implementations of three numerical methods using OpenMP. The performance measurements demonstrate the efficiency of the paralleliza… Show more

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Cited by 23 publications
(18 citation statements)
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“…To demonstrate the effect of the harmonic beatnote on the modulation of the QCL, numerical simulations based on the open-source software package mbsolve 28,29 were realised to investigate the electric field evolution in a structure reproducing the QCL characteristics. The simulation model is based on the full-wave Maxwell-Bloch (MB) equations 30,31 for the three-level system (i.e., without the rotating wave and slowly varying amplitude approximations), taking into account counterpropagating waves and spatial hole burning.…”
Section: Discussionmentioning
confidence: 99%
“…To demonstrate the effect of the harmonic beatnote on the modulation of the QCL, numerical simulations based on the open-source software package mbsolve 28,29 were realised to investigate the electric field evolution in a structure reproducing the QCL characteristics. The simulation model is based on the full-wave Maxwell-Bloch (MB) equations 30,31 for the three-level system (i.e., without the rotating wave and slowly varying amplitude approximations), taking into account counterpropagating waves and spatial hole burning.…”
Section: Discussionmentioning
confidence: 99%
“…The exact procedure is not always described in related work, but can be outlined as follows. [260] First, the electric field is updated using the standard FDTD update step. Then, the update of the density matrix using the rulê ρ n+1 =ρ n + t (k 1 + 2k 2 + 2k 3 + k 4 )/6 (149) follows, where k 1 = F n (ρ n ), k 2 = F n+1/2 (ρ n + t k 1 /2), k 3 = F n+1/2 (ρ n + t k 2 /2), and k 4 = F n+1 (ρ n + t k 3 ).…”
Section: Runge-kutta Methodsmentioning
confidence: 99%
“…[52] Additionally, it can be executed efficiently in parallel, although the naive implementation will not yield the maximum performance and a more advanced approach must be used. [259,260] The major drawback is the introduced numerical dispersion which can only be avoided by using very fine discretization sizes. Otherwise, artifacts in the simulation results could be the consequence.…”
Section: Numerical Schemes For Maxwell's Equationsmentioning
confidence: 99%
“…fast recovery of the absorber inversion lifetime as well as ultra-strong coupling of the FSA to the optical field, generation of a pair of colliding pulses becomes possible. To verify our approach, we employ semi-classical models for both the gain and the absorber, which are based on the solution of the full Maxwell-Bloch equations [6]. Compared to the traditionally used "travelling wave" models, which treat the carrier dynamics via classical rate equations, our approach resolves the electromagnetic field in space and time, solves the quantum mechanical von Neumann equation to evaluate the light-matter interaction dynamics, while it also includes important effects known to play a role in quantum cascade lasers, such as dispersion, optical nonlinearities and spatial hole burning.…”
Section: Modelmentioning
confidence: 99%
“…Notably, we do not employ the commonly used rotating wave approximation which fails for large spectral pulse widths. Furthermore, with the goal for transparency and reproducibility of our results by experimental and theoretical groups alike, we have released our simulation framework as an open source program for the community to exploit [6,7]. ps) as fast as 3 times shorter than the cavity round trip time, CPML is possible and above all, is robust against variations of the experimental parameters.…”
Section: Modelmentioning
confidence: 99%