795 citations · 2.6k across the 20 of their papers we have counts for
4 papers · 1 filter
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data
Cole Miles, Annabelle Bohrdt, Ruihan Wu +7
Machine learning models are a powerful theoretical tool for analyzing data from quantum simulators, in which results of experiments are sets of snapshots of many-body states. Recen…
Fragile topology in line-graph lattices with two, three, or four gapped flat bands
Christie S. Chiu, Da-Shuai Ma, Zhi-Da Song +2
The geometric properties of a lattice can have profound consequences on its band spectrum. For example, symmetry constraints and geometric frustration can give rise to topologicial…
Spin-Orbit-Induced Topological Flat Bands in Line and Split Graphs of Bipartite Lattices
Da-Shuai Ma, Yuanfeng Xu, Christie S. Chiu +4
Topological flat bands, such as the band in twisted bilayer graphene, are becoming a promising platform to study topics such as correlation physics, superconductivity, and transpor…
Coupling a mobile hole to an antiferromagnetic spin background: Transient dynamics of a magnetic polaron
Geoffrey Ji, Muqing Xu, Lev Haldar Kendrick +8
Understanding the interplay between charge and spin and its effects on transport is a ubiquitous challenge in quantum many-body systems. In the Fermi-Hubbard model, this interplay…