Neural Network Discovery of Paired Wigner Crystals in Artificial Graphene
Conor Smith, Yubo Yang, Zhou-Quan Wan, Yixiao Chen, Miguel A. Morales, Shiwei Zhang
TL;DR
This work identifies a novel Paired Wigner Crystal phase in a honeycomb moiré lattice at filling $ν_m=1/4$ using neural-network quantum Monte Carlo. Opposite-spin electrons form singlet pairs that delocalize over hexagonal rings, and these molecular units crystallize into a triangular lattice, all without confinement or attraction. The result, validated against conventional DMC and supported by BCS-type variational improvements, demonstrates the power of expressive neural-network wavefunctions for uncovering unexpected quantum orders in strongly correlated moiré systems. The findings broaden the phase diagram of moiré materials and suggest experimental avenues to observe paired molecular solids and related exotic states.
Abstract
Moiré systems have emerged as an exciting tunable platform for engineering and probing quantum matter. A large number of exotic states have been observed, stimulating intense efforts in experiment, theory, and simulation. Utilizing a neural-network-based quantum Monte Carlo approach, we discover a new ground state of the two-dimensional electron gas in a honeycomb moire potential at a filling factor of $ν_m =1/4$ (one electron every four moiré minima). In this state, two opposite-spin electrons pair to form a singlet-like valence bond state which restores local $C_6$ symmetry in hexagonal molecules each spanning $6$ moiré minima. These molecules of pairs then form a molecular Wigner crystal, leaving one quarter of the moiré minima mostly depleted. The formation of such a paired Wigner crystal, absent any confining potential or attractive interaction to facilitate "pre-assembling" the molecule, provides a fascinating case of collective phenomena in strongly interacting quantum many-body systems, and opportunities to engineer exotic properties.
