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PreprintCC BY 4.0arXiv

Evidence for a Dirac Spin Liquid in the Kagome Heisenberg Antiferromagnet from High-Precision Neural-Network Quantum States

Abstract

The spin-1/2 kagome Heisenberg antiferromagnet is a central model in the study of quantum spin liquids, yet its ground-state properties remain unresolved. We perform large-scale variational Monte-Carlo calculations using neural-network quantum states (NQSs) with kagome-geometry-aware message-passing convolution on two-dimensional tori containing up to 300 spins, and achieve exceptionally low variational energies for the kagome model. The spin and dimer structure factors show no evidence of magnetic or valence-bond long-range order. Moreover, the dominant symmetry-resolved spin and dimer correlations exhibit a common scaling behavior consistent with the emergent SO(6) monopole multiplet of the Dirac spin liquid. Finally, the fidelity of the optimized NQSs with Gutzwiller-projected mean-field states increasingly favors the Dirac state over the competing Z2 candidates as the system size grows. Together, these complementary results provide evidence for a U(1) Dirac spin-liquid ground state in the kagome Heisenberg antiferromagnet.

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BibTeX
@misc{sun2026evidence,
  title = {{Evidence for a Dirac Spin Liquid in the Kagome Heisenberg Antiferromagnet from High-Precision Neural-Network Quantum States}},
  author = {Zheng-Hang Sun and Christopher Roth and Ao Chen and Markus Heyl},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.05174},
  eprint = {2611.05174},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.05174},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Evidence for a Dirac Spin Liquid in the Kagome Heisenberg Antiferromagnet from High-Precision Neural-Network Quantum States
AU  - Zheng-Hang Sun
AU  - Christopher Roth
AU  - Ao Chen
AU  - Markus Heyl
PY  - 2026
DA  - 2026/11/03
PB  - arXiv
DO  - 10.48550/arxiv.2611.05174
UR  - https://arxiv.org/abs/2611.05174
AB  - The spin-1/2 kagome Heisenberg antiferromagnet is a central model in the study of quantum spin liquids, yet its ground-state properties remain unresolved. We perform large-scale variational Monte-Carlo calculations using neural-network quantum states (NQSs) with kagome-geometry-aware message-passing convolution on two-dimensional tori containing up to 300 spins, and achieve exceptionally low variational energies for the kagome model. The spin and dimer structure factors show no evidence of magnetic or valence-bond long-range order. Moreover, the dominant symmetry-resolved spin and dimer correlations exhibit a common scaling behavior consistent with the emergent SO(6) monopole multiplet of the Dirac spin liquid. Finally, the fidelity of the optimized NQSs with Gutzwiller-projected mean-field states increasingly favors the Dirac state over the competing Z_2 candidates as the system size grows. Together, these complementary results provide evidence for a U(1) Dirac spin-liquid ground state in the kagome Heisenberg antiferromagnet.
ER  -