NIPG-DG schemes for transformed master equations modeling open quantum systems
Jose A. Morales Escalante
TL;DR
This paper develops a discontinuous Galerkin solver for a transformed master equation obtained by Fourier transforming a Lindblad/Wigner-Fokker-Planck model of open quantum systems. By converting the nonlocal pseudo-differential potential term into a local product, the method treats the problem as a convective-diffusive system in transformed coordinates and solves it in a DG framework with real/imaginary density matrix components. Convergence and accuracy are demonstrated for a harmonic benchmark with analytic steady state, and the approach is extended to nonharmonic linear and quartic potentials, showing robust performance and reduced computational cost compared to the WFP formulation. The results have implications for efficient simulations of continuous-variable open quantum systems and may inform future work in higher dimensions, uncertainty quantification, and NISQ-era applications.
Abstract
This work presents a numerical analysis of a Discontinuous Galerkin (DG) method for a transformed master equation modeling an open quantum system: a quantum sub-system interacting with a noisy environment. It is shown that the presented transformed master equation has a reduced computational cost in comparison to a Wigner-Fokker-Planck model of the same system for the general case of non-harmonic potentials via DG schemes. Specifics of a Discontinuous Galerkin (DG) numerical scheme adequate for the system of convection-diffusion equations obtained for our Lindblad master equation in position basis are presented. This lets us solve computationally the transformed system of interest modeling our open quantum system problem. The benchmark case of a harmonic potential is then presented, for which the numerical results are compared against the analytical steady-state solution of this problem. Two non-harmonic cases are then presented: the linear and quartic potentials are modeled via our DG framework, for which we show our numerical results.
