4.5 Article

The classical two-dimensional Heisenberg model revisited: An SU (2)-symmetric tensor network study

Journal

SCIPOST PHYSICS
Volume 11, Issue 5, Pages -

Publisher

SCIPOST FOUNDATION
DOI: 10.21468/SciPostPhys.11.5.098

Keywords

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Funding

  1. DFG [CRC 183, EI 519/15-1, GZ OR 381/3-1, GZ SCHM 2511/10-1]
  2. Cluster of Excellence MATH+
  3. European Union's Horizon 2020 research and innovation programme [817482]
  4. Ikerbasque
  5. DIPC

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In this study, the classical Heisenberg model in two spatial dimensions was investigated using state-of-the-art tensor network approaches, revealing a rapidly diverging correlation length as temperatures decrease, which is apparently compatible with both the contradictory hypotheses of finite-T transition and asymptotic freedom. The results slightly favor the second hypothesis.
The classical Heisenberg model in two spatial dimensions constitutes one of the most paradigmatic spin models, taking an important role in statistical and condensed matter physics to understand magnetism. Still, despite its paradigmatic character and the widely accepted ban of a (continuous) spontaneous symmetry breaking, controversies remain whether the model exhibits a phase transition at finite temperature. Importantly, the model can be interpreted as a lattice discretization of the O (3) non-linear sigma model in 1 + 1 dimensions, one of the simplest quantum field theories encompassing crucial features of celebrated higher-dimensional ones (like quantum chromodynamics in 3 + 1 dimensions), namely the phenomenon of asymptotic freedom. This should also exclude finite-temperature transitions, but lattice effects might play a significant role in correcting the mainstream picture. In this work, we make use of state-of-the-art tensor network approaches, representing the classical partition function in the thermodynamic limit over a large range of temperatures, to comprehensively explore the correlation structure for Gibbs states. By implementing an SU (2) symmetry in our two-dimensional tensor network contraction scheme, we are able to handle very large effective bond dimensions of the environment up to chi(eff)(E) similar to 1500, a feature that is crucial in detecting phase transitions. With decreasing temperatures, we find a rapidly diverging correlation length, whose behaviour is apparently compatible with the two main contradictory hypotheses known in the literature, namely a finite-T transition and asymptotic freedom, though with a slight preference for the second.

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