---
license: cc0-1.0
language:
- en
tags:
- physics
- quantum-monte-carlo
- fractional-quantum-hall
pretty_name: DeepHall Data
arxiv: 2412.14795
viewer: false
---

# Data for the Study: "Taming Landau Level Mixing in Fractional Quantum Hall States with Deep Learning"

This dataset contains the raw data and plotting code used in the study titled:

"[Taming Landau Level Mixing in Fractional Quantum Hall States with Deep Learning](https://arxiv.org/abs/2412.14795)"

The relevant code is available at https://github.com/bytedance/DeepHall.

## Data Files

The data directories are named following the convention `n{number of electrons}l{flux}/k{interaction strength kappa}`.

For each calculation, the following data are included:

- `config.yml`: Hyperparameters used in the simulation.
- `train_stats.csv`: Energy, angular momentum, and other quantities at each training step.
- `ckpt_xxxxxx.npz`: Checkpoint of the final state, including network parameters, walker coordinates, and other relevant quantities.
- `energy/`: NetObs energy evaluation results with fixed parameters.
- `1rdm/`, `overlap/`, `pair_corr/`: NetObs evaluation of the one-body reduced density matrix (1-RDM), overlap with the Laughlin wavefunction, and the pair correlation function.

For the electron densities of quasiparticle and quasihole states, the data are placed in `nxlx/kx/lz{angular momentum in the z direction}`, with:

- `density/`: NetObs evaluation of electron density.

## Code for Plotting Figures

- `prep.py`: Script to process data and create `energy_vs_n.csv` and `llm_1_3.csv` for use in plotting.
- `plot.ipynb`: Jupyter notebook for generating the plots.