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

Fuente: arXiv
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Hauptverfasser: Liu, Qiyu, Herre, Jan-Niklas, Kennes, Dante M., Karrasch, Christoph
Format: Preprint
Veröffentlicht: 2026
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_version_ 1866912964742742016
author Liu, Qiyu
Herre, Jan-Niklas
Kennes, Dante M.
Karrasch, Christoph
author_facet Liu, Qiyu
Herre, Jan-Niklas
Kennes, Dante M.
Karrasch, Christoph
contents 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 $L = 48$ sites. Beyond eigenenergies, the method can track the spatial entanglement structure of the diagonalizing unitary $U(l)$ at each flow step, enabling identification of local integrals of motion deep in the MBL phase.
format Preprint
id arxiv_https___arxiv_org_abs_2603_12851
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Continuous unitary transformations using tensor network representations access the full many-body localized spectrum
Liu, Qiyu
Herre, Jan-Niklas
Kennes, Dante M.
Karrasch, Christoph
Disordered Systems and Neural Networks
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 $L = 48$ sites. Beyond eigenenergies, the method can track the spatial entanglement structure of the diagonalizing unitary $U(l)$ at each flow step, enabling identification of local integrals of motion deep in the MBL phase.
title Continuous unitary transformations using tensor network representations access the full many-body localized spectrum
topic Disordered Systems and Neural Networks
url https://arxiv.org/abs/2603.12851