A linear-scaling source-sink algorithm for simulating time-resolved quantum transport and superconductivity
Joseph Weston, Xavier Waintal

TL;DR
This paper introduces a linear-scaling 'source-sink' algorithm for simulating time-resolved quantum transport and superconductivity in large nanoelectronic systems, enabling efficient analysis of complex time-dependent phenomena.
Contribution
The authors develop a novel scattering wave function-based algorithm that scales linearly with system size and simulation time, allowing large-scale and long-time quantum transport simulations.
Findings
Successfully simulated current-voltage characteristics of Josephson junctions.
Predicted oscillatory currents induced by voltage pulses in long and short junctions.
Analyzed relaxation dynamics and voltage pulse propagation in Josephson systems.
Abstract
We report on a "source-sink" algorithm which allows one to calculate time-resolved physical quantities from a general nanoelectronic quantum system (described by an arbitrary time-dependent quadratic Hamiltonian) connected to infinite electrodes. Although mathematically equivalent to the non equilibrium Green's function formalism, the approach is based on the scattering wave functions of the system. It amounts to solving a set of generalized Schr\"odinger equations which include an additional "source" term (coming from the time dependent perturbation) and an absorbing "sink" term (the electrodes). The algorithm execution time scales linearly with both system size and simulation time allowing one to simulate large systems (currently around degrees of freedom) and/or large times (currently around times the smallest time scale of the system). As an application we calculate…
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