Dataset
Simulated Datasets for Two-Leg Rydberg Ladder Arrays: Low Energy States, Probability Dictionaries, and Figures
University of Iowa
01/20/2026
DOI: 10.25820/data.007463
Abstract
This dataset presents the lowest-energy eigenstates of a Rydberg ladder system, evaluated across a broad range of parameter configurations. The eigenstates were computed using both exact diagonalization and approximate numerical techniques, facilitating direct comparison between computational approaches. To investigate the structure and statistical properties of the resulting bitstrings, we performed extensive sampling of the low-energy states in accordance with the Born Rule.
Details
- Title: Subtitle
- Simulated Datasets for Two-Leg Rydberg Ladder Arrays: Low Energy States, Probability Dictionaries, and Figures
- Creators
- James Corona - University of IowaJin Zhang - Shijiazhuang UniversityYannick Meurice - University of Iowa, Physics and Astronomy
- Contributors
- Brian Westra (Data Curator) - University of Iowa, Humanities and Social Sciences/Scholarly Impact
- Resource Type
- Dataset
- DOI
- 10.25820/data.007463
- Publisher
- University of Iowa
- Language
- English
- Date collected
- 08/25/2021–05/12/2025
- Date published
- 01/20/2026
- Academic Unit
- Physics and Astronomy; Humanities and Social Sciences/Scholarly Impact
- Record Identifier
- 9984759790902771
Metrics
3 Record Views