Quantum Geometry Driven Crystallization: A Neural-Network Variational Monte Carlo Study
Agnes Valenti, Yaar Vituri, Yubo Yang, Daniel E. Parker, Tomohiro Soejima, Junkai Dong, Miguel A. Morales, Ashvin Vishwanath, Erez Berg, Shiwei Zhang

TL;DR
This study uses neural-network variational Monte Carlo to explore how quantum geometry influences Wigner crystallization, revealing that quantum effects significantly stabilize and enhance crystal formation beyond mean-field predictions.
Contribution
It demonstrates that quantum geometry and fluctuations stabilize and promote crystallization in a tunable model, extending understanding beyond mean-field results.
Findings
Quantum fluctuations do not destroy the anomalous Hall crystal.
Quantum geometric effects dramatically enhance crystallization.
Crystals are stabilized at densities much higher than mean-field predictions.
Abstract
Wigner crystals are a paradigmatic form of interaction driven electronic order. A key open question is how Berry curvature and, more generally, quantum geometry reshape crystallization. The discovery of two-dimensional materials with relatively flat bands and pronounced Berry curvature has added fresh urgency to this question. Recent mean-field studies have proposed a topological variant of the Wigner crystal, the anomalous Hall crystal (AHC), with non-zero Chern number. However it remains unclear whether the AHC survives beyond the mean-field approximation. Here, we map out the ground-state phase diagram of the -jellium model - a simple model whose interaction strength and Berry curvature are independently tunable - using state-of-the-art neural-network variational Monte Carlo. The AHC is found to remain stable against quantum fluctuations. Surprisingly, quantum geometric…
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Taxonomy
TopicsTopological Materials and Phenomena · Quantum many-body systems · Rare-earth and actinide compounds
