Double Time Window Targeting Technique: Real time DMRG dynamics in the PPP model
Tirthankar Dutta, S. Ramasesha

TL;DR
This paper introduces the double time window targeting (DTWT) technique, an efficient adaptive DMRG method for real-time dynamics in the PPP model, revealing faster charge and spin propagation due to long-range correlations in conjugated polymers.
Contribution
The paper develops the DTWT method combining pace keeping and time-step targeting algorithms, enabling accurate real-time DMRG simulations of the PPP model with long-range interactions.
Findings
Charge propagates faster than spin in the PPP model.
Long-range correlations increase electron propagation speeds.
Simple Hubbard model renormalization cannot capture PPP dynamics.
Abstract
We present a generalized adaptive time-dependent density matrix renormalization group (DMRG) scheme, called the {\it double time window targeting} (DTWT) technique, which gives accurate results with nominal computational resources, within reasonable computational time. This procedure originates from the amalgamation of the features of pace keeping DMRG algorithm, first proposed by Luo {\it et. al}, [Phys.Rev. Lett. {\bf 91}, 049701 (2003)], and the time-step targeting (TST) algorithm by Feiguin and White [Phys. Rev. B {\bf 72}, 020404 (2005)]. Using the DTWT technique, we study the phenomena of spin-charge separation in conjugated polymers (materials for molecular electronics and spintronics), which have long-range electron-electron interactions and belong to the class of strongly correlated low-dimensional many-body systems. The issue of real time dynamics within the Pariser-Parr-Pople…
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