Research Data Leeds Repository

Citation

Hallam, Andrew, Smith, Ryan and Papic, Zlatko (2026) Supporting data for 'Spectral signatures of nonstabilizerness and criticality in infinite matrix product states'. University of Leeds. [Dataset] https://doi.org/10.5518/1852

Dataset description

Data for VUMPS, MPS and exact diagonalization results. The dataset includes seperate data files for each figure in the manuscript, in the .txt, .mat and .pkl file types which can be loaded into python.

Subjects:	F000 - Physical sciences > F300 - Physics > F340 - Mathematical & theoretical physics > F342 - Quantum mechanics
Divisions:	Faculty of Engineering and Physical Sciences > School of Physics and Astronomy
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	27 May 2026 10:36
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/1551
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Hallam, Andrew https://orcid.org/0000-0003-2288-7661 University of Leeds https://ror.org/024mrxd33 ror Smith, Ryan https://orcid.org/0009-0007-3033-2179 University of Leeds https://ror.org/024mrxd33 ror Papic, Zlatko https://orcid.org/0000-0002-8451-2235 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: Leverhulme Trust, EPSRC Grant numbers: RL-2019-015, EP/Z533634/1, UKRI/1337 Publication date: 2026 Resource language: English Publisher: University of Leeds Contact email: ll17rps@leeds.ac.uk Last Modified: 27 May 2026 10:37

Files

Documentation

readme_Smith_2026.txt [5kB] readme_Smith_2026.txt [5kB] readme_Smith_2026.txt [5kB] Security: Anyone File name: readme_Smith_2026.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5kB

Data

data.zip [337kB] data.zip [337kB] data.zip [337kB] Security: Anyone File name: data.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 337kB