Published May 2015 | Version v1
Journal article

Transfer matrices and excitations with matrix product states

  • 1. Vienna Center for Quantum Technology, University of Vienna, Boltzmanngasse 5, 1090 Wien (Austria)
  • 2. Ghent University, Krijgslaan 281, 9000 Ghent (Belgium)
  • 3. London Centre for Nanotechnology, University College London, Gordon St., London, WC1H 0AH (United Kingdom)
  • 4. Institut für Quanteninformation, RWTH Aachen University, D-52056 Aachen (Germany)

Description

We use the formalism of tensor network states to investigate the relation between static correlation functions in the ground state of local quantum many-body Hamiltonians and the dispersion relations of the corresponding low-energy excitations. In particular, we show that the matrix product state transfer matrix (MPS-TM)—a central object in the computation of static correlation functions—provides important information about the location and magnitude of the minima of the low-energy dispersion relation(s), and we present supporting numerical data for one-dimensional lattice and continuum models as well as two-dimensional lattice models on a cylinder. We elaborate on the peculiar structure of the MPS-TM's eigenspectrum and give several arguments for the close relation between the structure of the low-energy spectrum of the system and the form of the static correlation functions. Finally, we discuss how the MPS-TM connects to the exact quantum transfer matrix of the model at zero temperature. We present a renormalization group argument for obtaining finite bond dimension approximations of the MPS, which allows one to reinterpret variational MPS techniques (such as the density matrix renormalization group) as an application of Wilson's numerical renormalization group along the virtual (imaginary time) dimension of the system. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1367-2630/17/5/053002

Additional details

Publishing Information

Journal Title
New Journal of Physics
Journal Volume
17
Journal Issue
5
Journal Page Range
[33 p.]
ISSN
1367-2630