TL;DR
This study uses advanced numerical methods to investigate the ground state of the Heisenberg model on the pyrochlore lattice, providing evidence against the existence of a spin-liquid phase and revealing symmetry-breaking in the system.
Contribution
The paper introduces a combined use of RVB-like Monte Carlo and neural network quantum states to analyze the 3D pyrochlore Heisenberg model, challenging the spin-liquid hypothesis.
Findings
Identification of a phase transition between spin-liquid and ordered phases
Evidence of spontaneous inversion and rotational symmetry breaking
Questioning the existence of a featureless quantum spin-liquid
Abstract
The spin-1/2 Heisenberg model on the pyrochlore lattice is an iconic frustrated three-dimensional spin system with a rich phase diagram. Besides hosting several ordered phases, the model is debated to possess a spin-liquid ground state when only nearest-neighbor antiferromagnetic interactions are present. Here, we contest this hypothesis with an extensive numerical investigation using both exact diagonalization and complementary variational techniques. Specifically, we employ a RVB-like many-variable Monte Carlo ansatz and convolutional neural network quantum states for (variational) calculations with up to and spins, respectively. We demonstrate that these techniques yield consistent results, allowing for reliable extrapolations to the thermodynamic limit. Our main results are (1) the determination of the phase transition between the putative spin-liquid…
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