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Bruognolo, Benedikt (2017): Tensor network techniques for strongly correlated systems: simulating the quantum many-body wavefunction in zero, one, and two dimensions. Dissertation, LMU München: Fakultät für Physik

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Figure 2.4:Evolution of the excitation over (a) timeµ ⟨ Sˆzj Sˆz0(t)⟩ and (b),(c) iteration ordern(j) = ⟨ψ0| Sˆαj |tn⟩
Figure 2.7: CTM coarse graining move to the left lattice direction: (i) extra unit cell is firstinserted, and then column-wise integrated into the left part of the environment by performingtwo subsequent (ii) absorption and (iii) renormalization steps.
Figure 2.8: CTM coarse graining move to the top of the lattice: (i) extra unit cell is firstinserted, and then row-wise integrated into the upper part of the environment by performingtwo subsequent (ii) absorption and (iii) renormalization steps (only first step is shown).
Figure 2.9:A unit cell of size 3 × 2 consists of six different M tensors (here denotedM, N, O, P, Q, and R).For each of the six relative coordinates in the unit cell, we have toobtain a 2 × 2 CTM representation (indicated by the solid and dashed squares, an
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DMRG Time evolution Finite-temperature Spectral methods Properties of PEPS and iPEPS Contractions Optimization Fermionization rules PEPS and iPEPS Symmetric minimally entangled typical thermal states

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