Simulated Datasets for Two-Leg Rydberg Ladder Arrays: Low Energy States, Probability Dictionaries, and Figures

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Authors: James Ira Corona, Jin Zhang, Yannick Meurice
Cited by: 1

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.

Publication details

Journal / source
Iowa Research Online (The University of Iowa)
Publication date
20 January 2026
Language
EN
Document type
Dataset