A DMRG-style PEPS optimizer that builds an approximate canonical form and solves regular eigenvalue problems is tested on the 2D Heisenberg model, converging close to quantum Monte Carlo energies within about ten sweeps.
White, Phys
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DMRG Approach to Optimizing Two-Dimensional Tensor Networks
A DMRG-style PEPS optimizer that builds an approximate canonical form and solves regular eigenvalue problems is tested on the 2D Heisenberg model, converging close to quantum Monte Carlo energies within about ten sweeps.