Automatic Structural Search of Tensor Network States including Entanglement Renormalization
This study presents an algorithm for the automatic structural search of tensor network states, including entanglement renormalization, which optimizes local structures based on variational energy to improve accuracy in representing non-uniform entangled states, particularly when initialized with existing design methods like the strong disordered renormalization group.