Equilibrium Quantum Impurity Problems via Matrix Product State Encoding of the Retarded Action
Benedikt Kloss, Julian Thoenniss, Michael Sonner, Alessio Lerose,, Matthew T. Fishman, E. M. Stoudenmire, Olivier Parcollet, Antoine Georges,, and Dmitry A. Abanin

TL;DR
This paper introduces RAMPS, a tensor-network method that effectively models quantum impurity problems, especially in the challenging Kondo regime, by representing the retarded action as a matrix product state.
Contribution
The study demonstrates that RAMPS reliably captures the Kondo regime in the single-impurity Anderson model with polynomial error scaling, offering a promising alternative to existing methods.
Findings
RAMPS accurately reaches the Kondo regime for various interaction strengths
Error scales as a weak power law with inverse temperature
Polynomial convergence with bond dimension and time discretization
Abstract
In the dimensional imaginary-time path integral formulation of quantum impurity problems, the retarded action encodes the hybridization of the impurity with the bath. In this Article, we explore the computational power of representing the retarded action as matrix product state (RAMPS). We focus on the challenging Kondo regime of the single-impurity Anderson model, where non-perturbative strong-correlation effects arise at very low energy scales. We demonstrate that the RAMPS approach reliably reaches the Kondo regime for a range of interaction strengths , with a numerical error scaling as a weak power law with inverse temperature. We investigate the convergence behavior of the method with respect to bond dimension and time discretization by analyzing the error of local observables in the full interacting problem and find polynomial scaling in both parameters. Our results show…
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Taxonomy
TopicsQuantum and electron transport phenomena · Quantum many-body systems · Quantum Computing Algorithms and Architecture
