Finding Matrix Product State Representations of Highly Excited Eigenstates of Many-Body Localized Hamiltonians

Xiongjie Yu, David Pekker, Bryan K. Clark

Research output: Contribution to journalArticle

Abstract

A key property of many-body localized Hamiltonians is the area law entanglement of even highly excited eigenstates. Matrix product states (MPS) can be used to efficiently represent low entanglement (area law) wave functions in one dimension. An important application of MPS is the widely used density matrix renormalization group (DMRG) algorithm for finding ground states of one-dimensional Hamiltonians. Here, we develop two algorithms, the shift-and-invert MPS (SIMPS) and excited state DMRG which find highly excited eigenstates of many-body localized Hamiltonians. Excited state DMRG uses a modified sweeping procedure to identify eigenstates, whereas SIMPS applies the inverse of the shifted Hamiltonian to a MPS multiple times to project out the targeted eigenstate. To demonstrate the power of these methods, we verify the breakdown of the eigenstate thermalization hypothesis in the many-body localized phase of the random field Heisenberg model, show the saturation of entanglement in the many-body localized phase, and generate local excitations.

Original languageEnglish (US)
Article number017201
JournalPhysical review letters
Volume118
Issue number1
DOIs
StatePublished - Jan 3 2017

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ASJC Scopus subject areas

  • Physics and Astronomy(all)

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