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tnpy 0.1.1a3 documentation
Algorithms
1. Exact Diagonalization (ED)
1.1. tnpy.exact_diagonalization.ExactDiagonalization
2. Finite Density Matrix Renormalization Group (fDMRG)
2.1. tnpy.finite_dmrg.FiniteDMRG
2.2. tnpy.finite_dmrg.ShiftInvertDMRG
3. Finite Time-dependent Variational Principle (fTDVP)
3.1. tnpy.finite_tdvp.FiniteTDVP
4. Tree Tensor Strong-disorder Renormalization Group (tSDRG)
4.1. tnpy.tsdrg.Node
4.2. tnpy.tsdrg.TensorTree
4.3. tnpy.tsdrg.TreeTensorNetworkSDRG
4.4. tnpy.tsdrg.TreeTensorNetworkMeasurements
4.5. tnpy.tsdrg.HighEnergyTreeTensorNetworkSDRG
4.6. tnpy.tsdrg.ShiftInvertTreeTensorNetworkSDRG
4.7.1. Algorithm
Built-in models
1. Model 1D
1.1. tnpy.model.Model1D
2. XXZ model
2.1. tnpy.model.XXZ
3. Dimer XXZ model
3.1. tnpy.model.DimerXXZ
4. Random Heisenberg model
4.1. tnpy.model.RandomHeisenberg
5. Thirring model
5.1. tnpy.model.Thirring
6. Total Sz
6.1. tnpy.model.TotalSz
7. Utils
7.1. tnpy.model.utils
Operators and linear algebra
1. Matrix Product State (MPS)
1.1. tnpy.matrix_product_state.Direction
1.2. tnpy.matrix_product_state.MatrixProductState
1.3. tnpy.matrix_product_state.Environment
1.4. tnpy.matrix_product_state.MatrixProductStateMeasurements
2. Matrix Product Operator (MPO) & others
2.1. tnpy.operators.MatrixProductOperator
2.2. tnpy.operators.SpinOperators
2.3. tnpy.operators.FullHamiltonian
3. Linear Algebra
3.1. tnpy.linalg
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Linear Algebra
3.
Linear Algebra
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tnpy.linalg