Numerical simulations of time resolved quantum electronics

TL;DR

This paper presents a new numerical method for simulating time-resolved quantum transport in mesoscopic systems, offering significant speed improvements and enabling realistic simulations beyond previous capabilities.

Contribution

The authors develop a wave function-based approach equivalent to existing formalisms, providing a faster numerical technique for time-resolved quantum electronics simulations.

Findings

Wave function approach speeds up simulations by orders of magnitude.

Method enables realistic, complex system simulations beyond prior limitations.

Approach is applicable to various time-dependent perturbations.

Abstract

This paper discusses the technical aspects - mathematical and numerical - associated with the numerical simulations of a mesoscopic system in the time domain (i.e. beyond the single frequency AC limit). After a short review of the state of the art, we develop a theoretical framework for the calculation of time resolved observables in a general multiterminal system subject to an arbitrary time dependent perturbation (oscillating electrostatic gates, voltage pulses, time-vaying magnetic fields) The approach is mathematically equivalent to (i) the time dependent scattering formalism, (ii) the time resolved Non Equilibrium Green Function (NEGF) formalism and (iii) the partition-free approach. The central object of our theory is a wave function that obeys a simple Schrodinger equation with an additional source term that accounts for the electrons injected from the electrodes. The time resolved observables (current, density. . .) and the (inelastic) scattering matrix are simply expressed in term of this wave function. We use our approach to develop a numerical technique for simulating time resolved quantum transport. We find that the use of this wave function is advantageous for numerical simulations resulting in a speed up of many orders of magnitude with respect to the direct integration of NEGF equations. Our technique allows one to simulate realistic situations beyond simple models, a subject that was until now beyond the simulation capabilities of available approaches.