Data of "Edge-Edge Correlations without Edge-States: η-clustering State as Ground State of the Extended Attractive SU(3) Hubbard Chain"

Codes for reproducing the data and figures of the article entitled "Edge-Edge Correlations without Edge-States: η-clustering State as Ground State of the Extended Attractive SU(3) Hubbard Chain" Authors: Hironobu Yoshida, Niclas Heinsdorf, Hosho Katsura arXiv: https://arxiv.org/abs/2411.14724 The codes are written in Python. The codes require QuSpin, TeNPy, NumPy, SciPy, and Matplotlib. The Jupyter notebook fig2.ipynb generates the data for Figure 2. The python script tenpy_model.py contains MPO model that we used to generate Figures 4,5,6,7 and 8.