Non-abelian symmetries in tensor networks: a quantum symmetry space approach
Andreas Weichselbaum

TL;DR
This paper introduces a comprehensive framework called QSpace for implementing non-abelian symmetries in tensor networks, enhancing computational efficiency in methods like NRG and DMRG, with detailed applications to a spin-3/2 three-channel Anderson impurity model.
Contribution
The paper develops a unifying tensor-representation for non-abelian symmetry spaces, enabling efficient numerical algorithms for tensor networks with complex symmetries.
Findings
QSpace improves numerical efficiency in tensor network calculations.
Application to a spin-3/2 three-channel Anderson model demonstrates effectiveness.
Comparison of different symmetry scenarios shows significant computational gains.
Abstract
A general framework for non-abelian symmetries is presented for matrix-product and tensor-network states in the presence of orthonormal local as well as effective basis sets. The two crucial ingredients, the Clebsch-Gordan algebra for multiplet spaces as well as the Wigner-Eckart theorem for operators, are accounted for in a natural, well-organized, and computationally straightforward way. The unifying tensor-representation for quantum symmetry spaces, dubbed QSpace, is particularly suitable to deal with standard renormalization group algorithms such as the numerical renormalization group (NRG), the density matrix renormalization group (DMRG), or also more general tensor networks such as the multi-scale entanglement renormalization ansatz (MERA). In this paper, the focus is on the application of the non-abelian framework within the NRG. A detailed analysis is given for a fully screened…
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