Work

Tensor network finite-size scaling for two-dimensional 3-state clock model

Year: 2025

Type: article

Abstract: We benchmark recently proposed tensor network based finite-size scaling analysis in (Phys. Rev. B 2023 107 205123) against two-dimensional classical 3-state clock model. Due to the higher complexity of the model, more complicated crossover behavior is observed. We advocate that the crossover behavior can be understood from the perspective of finite bond dimension inducing relevant perturbation. This leads to a general strategy to best estimate the critical properties for a given set of control parameters. For the critical temperature T c , the relative error at the order of 10−7 can be reached with bond dimension D = 70. On the other hand, with bond dimension D = 60, the relative errors of the critical exponents ν , β , α are at the order of 10−2. Increasing the bond dimension to D = 90, these relative errors can be reduced at least to the order of 10−3. In all cases our results indicate that the errors can be systematically reduced by increasing the bond dimension and the stacking number.

Source: New Journal of Physics

DOI: 10.1088/1367-2630/add048

Authors: Debasmita Maiti, Sing-Hong Chan, Pochung Chen

Institutions: National Tsing Hua University, National Center for Theoretical Sciences, National Center for Theoretical Sciences, Physics Division

Language: English

Topic: Quantum many-body systems

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,610

Funder: National Science and Technology Council