Example codes: TEBD for iPEPS
Please look at the readme page if you have not done so already. Here we present an implementation of the time evolving block decimation (TEBD) algorithm to optimize infinite projected entangled pair states (iPEPS) for the ground state of a local Hamiltonian on a 2D square lattice, following a similar method to the original proposal. However, we contract the PEPS using the corner transfer matrix approach, as explained in this reference, and incorporate some of the refinements suggested in the appendix of this reference. In addition, we make use of the gaugefixing and index truncation strategy introduced here.

Computational cost: O(m^3 D^6)
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Based on a 2site unit cell (AB pattern)â€‹
Network structure:
Environment contraction:
Truncation criteria for edge tensors:
Updated edge tensors:
TEBD update step:
Index ordering conventions:
Time evolution of iPEPS (Python module):
Initialization (Python script):
'mainPEPS' benchmark:
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Method: TEBD for squarelattice iPEPS of bond dimension D = 4
Test problem: 2D quantum Heisenberg antiferromagnet (infinite lattice)
Running time: approx 6 mins
Quantities computed: ground energy density, spontaneous magnetization
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Typical results:
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Error in ground energy density (iPEPS): approx 7e4
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Spontaneous magnetization (iPEPS): 0.350
Spontaneous magnetization (exact): 0.308
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