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      Efficient propagation of the hierarchical equations of motion using the matrix product state method

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      The Journal of Chemical Physics
      AIP Publishing

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          Many-Particle Physics

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            Is Open Access

            The density-matrix renormalization group in the age of matrix product states

            The density-matrix renormalization group method (DMRG) 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. In the further development of the method, the realization that DMRG operates on a highly interesting class of quantum states, so-called matrix product states (MPS), has allowed a much deeper understanding of the inner structure of the DMRG method, its further potential and its limitations. In this paper, I want to give a detailed exposition of current DMRG thinking in the MPS language in order to make the advisable implementation of the family of DMRG algorithms in exclusively MPS terms transparent. I then move on to discuss some directions of potentially fruitful further algorithmic development: while DMRG is a very mature method by now, I still see potential for further improvements, as exemplified by a number of recently introduced algorithms.
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              Tensor-Train Decomposition

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                Author and article information

                Journal
                The Journal of Chemical Physics
                The Journal of Chemical Physics
                AIP Publishing
                0021-9606
                1089-7690
                May 07 2018
                May 07 2018
                : 148
                : 17
                : 174102
                Affiliations
                [1 ]Beijing National Laboratory for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Zhongguancun, Beijing 100190, China and University of Chinese Academy of Sciences, Beijing 100049, China
                Article
                10.1063/1.5026753
                fc273d8d-50fa-4edf-9e5c-ead6de9c7fce
                © 2018
                History

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