scholarly journals Efficient tree tensor network states (TTNS) for quantum chemistry: Generalizations of the density matrix renormalization group algorithm

2013 ◽  
Vol 138 (13) ◽  
pp. 134113 ◽  
Author(s):  
Naoki Nakatani ◽  
Garnet Kin-Lic Chan
Author(s):  
Ulrich Schollwöck

The density-matrix renormalization group (DMRG) method has established itself over the last decade as the leading method for the simulation of the statics and dynamics of one-dimensional strongly correlated quantum lattice systems. The DMRG is a method that shares features of a renormalization group procedure (which here generates a flow in the space of reduced density operators) and of a variational method that operates on a highly interesting class of quantum states, so-called matrix product states (MPSs). The DMRG method is presented here entirely in the MPS language. While the DMRG generally fails in larger two-dimensional systems, the MPS picture suggests a straightforward generalization to higher dimensions in the framework of tensor network states. The resulting algorithms, however, suffer from difficulties absent in one dimension, apart from a much more unfavourable efficiency, such that their ultimate success remains far from clear at the moment.


2001 ◽  
Vol 115 (15) ◽  
pp. 6815-6821 ◽  
Author(s):  
Alexander O. Mitrushenkov ◽  
Guido Fano ◽  
Fabio Ortolani ◽  
Roberto Linguerri ◽  
Paolo Palmieri

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