Evaluation of Dynamical Properties of Open Quantum Systems Using the Driven Liouville-von Neumann Approach: Methodological Considerations
Inbal Oz, Oded Hod, and Abraham Nitzan

TL;DR
This paper discusses methodological considerations for simulating open quantum systems using the driven Liouville-von Neumann approach, focusing on accurately modeling dynamical properties and avoiding artifacts in numerical simulations.
Contribution
It provides a detailed analysis of how to effectively implement the DLvN approach for molecular junctions and addresses issues related to finite system modeling and the wide band limit approximation.
Findings
Finite models can replicate depopulation dynamics of infinite baths.
Strategies to avoid spurious energy-resolved currents are discussed.
Methods to approach the wide band limit in finite models are proposed.
Abstract
Methodological aspects of using the driven Liouville-von Neumann (DLvN) approach for simulating dynamical properties of molecular junctions are discussed. As a model system we consider a non-interacting resonant level uniformly coupled to a single Fermionic bath. We demonstrate how a finite system can mimic the depopulation dynamics of the dot into an infinite band bath of continuous and uniform density of states. We further show how the effects of spurious energy resolved currents, appearing due to the approximate nature of the equilibrium state obtained in DLvN calculations, can be avoided. Several ways to approach the wide band limit that is often adopted in analytical treatments, using a finite numerical model system are discussed including brute-force increase of the lead model bandwidth as well as efficient cancellation or direct subtraction of finite-bandwidth effect. These…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
