TL;DR
This paper introduces a tensor-train based numerical method to efficiently solve the Schrödinger equation for coupled exciton-phonon systems, enabling analysis of quantum states and phenomena like self-trapping with reduced computational resources.
Contribution
The authors develop a tensor-train approach with an integrated Wielandt deflation technique to solve high-dimensional eigenproblems in exciton-phonon chains, improving efficiency and enabling new quantum state analyses.
Findings
Tensor-train ranks grow marginally with chain length in homogeneous systems.
The method confirms the dependence of wavepacket width on exciton-phonon coupling.
The approach enables direct study of mutual self-trapping phenomena.
Abstract
We demonstrate how to apply the tensor-train format to solve the time-independent Schr\"{o}dinger equation for quasi one-dimensional excitonic chain systems with and without periodic boundary conditions. The coupled excitons and phonons are modeled by Frenkel-Holstein type Hamiltonians with on-site and nearest-neighbor interactions only. We reduce the memory consumption as well as the computational costs significantly by employing efficient decompositions to construct low rank tensor-train representations, thus mitigating the curse of dimensionality. In order to compute also higher quantum states, we introduce an approach which directly incorporates the Wielandt deflation technique into the alternating linear scheme for the solution of eigenproblems. Besides systems with coupled excitons and phonons, we also investigate uncoupled problems for which (semi-)analytical results exist.…
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