4. Tree Tensor Strong-disorder Renormalization Group (tSDRG)

tnpy.tsdrg.Node(node_id[, left, right])	The node of binary tree, while data structure is inherited from quimb.Tensor.
tnpy.tsdrg.TensorTree(mpo)	The bottom-up binary tree where each node contains a tensor.
tnpy.tsdrg.TreeTensorNetworkSDRG(mpo, chi)	The tree tensor network version of strong disorder renormalization group algorithm.
tnpy.tsdrg.TreeTensorNetworkMeasurements(tree)	A collection of all available physical measurements for TensorTree.
tnpy.tsdrg.HighEnergyTreeTensorNetworkSDRG(...)	The tree tensor network version of strong disorder renormalization group algorithm.
tnpy.tsdrg.ShiftInvertTreeTensorNetworkSDRG(...)	The tree tensor network version of strong disorder renormalization group algorithm.

4.7. Tutorial

• 4.7.1. Algorithm
  • 4.7.1.1. Preparation
  • 4.7.1.2. Main part: growing the tree
• 4.7.2. Data Structure
• 4.7.3. Measurements
  • 4.7.3.1. Near-ground-state energies
  • 4.7.3.2. Correlation function
  • 4.7.3.3. Depth-first Search (DFS) & Common Ancestor
  • 4.7.3.4. Entanglement entropy
• 4.7.4. References