AI RESEARCH
Representability-Aware Neural Networks for Reduced Density Matrices: Application to Fractional Chern Insulators
arXiv CS.AI
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ArXi:2605.20326v1 Announce Type: cross We develop a representability-aware and interpolable neural network (NN) framework for predicting two-particle reduced density matrices (2-RDMs). The NN incorporates a subset of representability conditions through its architecture and loss function, and can operate on different momentum meshes, enabling evaluating the representability conditions across multiple meshes, which we call interpolated representability condition.