Unifying time evolution and optimization with matrix product states

Jutho Haegeman, Christian Lubich, Ivan Oseledets, Bart Vandereycken, Frank Verstraete

    Research output: Contribution to journalArticlepeer-review

    297 Citations (Scopus)

    Abstract

    We show that the time-dependent variational principle provides a unifying framework for time-evolution methods and optimization methods in the context of matrix product states. In particular, we introduce a new integration scheme for studying time evolution, which can cope with arbitrary Hamiltonians, including those with long-range interactions. Rather than a Suzuki-Trotter splitting of the Hamiltonian, which is the idea behind the adaptive time-dependent density matrix renormalization group method or time-evolving block decimation, our method is based on splitting the projector onto the matrix product state tangent space as it appears in the Dirac-Frenkel time-dependent variational principle. We discuss how the resulting algorithm resembles the density matrix renormalization group (DMRG) algorithm for finding ground states so closely that it can be implemented by changing just a few lines of code and it inherits the same stability and efficiency. In particular, our method is compatible with any Hamiltonian for which ground-state DMRG can be implemented efficiently. In fact, DMRG is obtained as a special case of our scheme for imaginary time evolution with infinite time step.

    Original languageEnglish
    Article number165116
    JournalPhysical Review B
    Volume94
    Issue number16
    DOIs
    Publication statusPublished - 10 Oct 2016

    Fingerprint

    Dive into the research topics of 'Unifying time evolution and optimization with matrix product states'. Together they form a unique fingerprint.

    Cite this