## Finite-temperature symmetric tensor network for spin-1/2 Heisenberg antiferromagnets on the square lattice

Didier Poilblanc, Matthieu Mambrini, Fabien Alet

SciPost Phys. 10, 019 (2021) · published 28 January 2021

- doi: 10.21468/SciPostPhys.10.1.019
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### Abstract

Within the tensor network framework, the (positive) thermal density operator can be approximated by a double layer of infinite Projected Entangled Pair Operator (iPEPO) coupled via ancilla degrees of freedom. To investigate the thermal properties of the spin-1/2 Heisenberg model on the square lattice, we introduce a family of fully spin-$SU(2)$ and lattice-$C_{4v}$ symmetric on-site tensors (of bond dimensions $D=4$ or $D=7$) and a plaquette-based Trotter-Suzuki decomposition of the imaginary-time evolution operator. A variational optimization is performed on the plaquettes, using a full (for $D=4$) or simple (for $D=7$) environment obtained from the single-site Corner Transfer Matrix Renormalization Group fixed point. The method is benchmarked by a comparison to quantum Monte Carlo in the thermodynamic limit. Although the iPEPO spin correlation length starts to deviate from the exact exponential growth for inverse-temperature $\beta \gtrsim 2$, the behavior of various observables turns out to be quite accurate once plotted w.r.t the inverse correlation length. We also find that a direct $T=0$ variational energy optimization provides results in full agreement with the $\beta\rightarrow\infty$ limit of finite-temperature data, hence validating the imaginary-time evolution procedure. Extension of the method to frustrated models is described and preliminary results are shown.

### Cited by 10

### Authors / Affiliation: mappings to Contributors and Organizations

See all Organizations.-
^{1}Didier Poilblanc, -
^{1}Matthieu Mambrini, -
^{1}Fabien Alet

- Agence Nationale de la Recherche [ANR]
- Grand Équipement National De Calcul Intensif (through Organization: Grand Equipement National de Calcul Intensif [GENCI])