English

Continuous unitary transformations using tensor network representations access the full many-body localized spectrum

Disordered Systems and Neural Networks 2026-03-16 v1

Abstract

We develop variational continuous unitary transformations (VCUTs), which integrate Wegner-Wilson flow equations with tensor network techniques to approximately diagonalize many-body localized (MBL) Hamiltonians. The diagonalizing unitary is represented as a matrix product operator whose bond dimension controls the accuracy. For the disordered Heisenberg chain, VCUTs accurately reproduces the full spectrum across the ergodic-to-MBL crossover at small system sizes and scales to L=48L = 48 sites. Beyond eigenenergies, the method can track the spatial entanglement structure of the diagonalizing unitary U(l)U(l) at each flow step, enabling identification of local integrals of motion deep in the MBL phase.

Keywords

Cite

@article{arxiv.2603.12851,
  title  = {Continuous unitary transformations using tensor network representations access the full many-body localized spectrum},
  author = {Qiyu Liu and Jan-Niklas Herre and Dante M. Kennes and Christoph Karrasch},
  journal= {arXiv preprint arXiv:2603.12851},
  year   = {2026}
}

Comments

10 pages, 7 figures

R2 v1 2026-07-01T11:18:13.256Z