Monday, May 28, 2012

1205.5636 (Shi-Ju Ran et al.)

Optimized Decimation of Tensor Networks with Super-orthogonalization for
Two-Dimensional Quantum Lattice Models
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Shi-Ju Ran, Wei Li, Bin Xi, Zhe Zhang, Gang Su
A novel algorithm based on the optimized decimation of tensor networks with super-orthogonalization (ODTNS), which can be applied to simulate efficiently and accurately not only the thermodynamic but also the ground state properties of two-dimensional (2D) quantum lattice models, is proposed. By transforming the 2D quantum model into a three-dimensional (3D) closed tensor network (TN) comprised of the tensor product density operator and a 3D brick-wall TN, the free energy of the system can be calculated with the imaginary time evolution, in which the network Tucker decomposition is suggested for the first time to obtain the optimal lower-dimensional approximation on the bond space by transforming the TN into a super-orthogonal form. The efficiency and accuracy of this algorithm are testified to be fairly comparable with the quantum Monte Carlo calculations. Besides, the present ODTNS scheme can also be applicable to the 2D frustrated quantum spin models with nice efficiency.
View original: http://arxiv.org/abs/1205.5636

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