Performance of reservoir discretizations in quantum transport simulations

Quantum transport simulations often use explicit, yet finite, electronic reservoirs. These should converge to the correct continuum limit, albeit with a trade-off between discretization and computational cost. Here, we study this interplay for extended reservoir simulations, where relaxation maintains bias or temperature drop across system. Our analysis begins in non-interacting parameterize different discretizations compare them on an even footing. For many-body systems, develop method estimate that best approximates by controlling virtual transitions Kramers' turnover current. While some are more efficient calculating currents, there is little benefit regard overall state of Any gains become marginal many-body, tensor network relative performance varies when sweeping other numerical controls. results indicate given may have impact efficiency certain tools. The choice parameter, however, crucial, provides reliable optimal finite