Module tensor_network 

Tensor network methods: MPS, MPO and DMRG-lite

Implements Matrix Product States (MPS) for compact representation of 1D quantum states, Matrix Product Operators (MPO) for Hamiltonians, SVD-based bond compression, and a two-site DMRG sweep for ground-state energy estimation.

Structs

MPS

Matrix Product State (MPS) representation.

Tensor

A general dense tensor with arbitrary shape.

Functions

dmrg_two_site_sweep

Run a DMRG two-site sweep to find the ground state energy.

ising_1d_mpo

Construct the MPO for the 1D transverse Ising Hamiltonian: H = -J Σ_i Z_i Z_{i+1} - h Σ_i X_i

mpo_apply

Apply an MPO to an MPS and return the resulting MPS.

svd_compress_bond

SVD-compress a bond between two tensors.