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--- |
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license: cc0-1.0 |
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language: |
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- en |
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tags: |
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- physics |
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- quantum-monte-carlo |
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- fractional-quantum-hall |
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pretty_name: DeepHall Data |
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arxiv: 2412.14795 |
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viewer: false |
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--- |
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# Data for the Study: "Taming Landau Level Mixing in Fractional Quantum Hall States with Deep Learning" |
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This dataset contains the raw data and plotting code used in the study titled: |
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"[Taming Landau Level Mixing in Fractional Quantum Hall States with Deep Learning](https://arxiv.org/abs/2412.14795)" |
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The relevant code is available at https://github.com/bytedance/DeepHall. |
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## Data Files |
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The data directories are named following the convention `n{number of electrons}l{flux}/k{interaction strength kappa}`. |
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For each calculation, the following data are included: |
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- `config.yml`: Hyperparameters used in the simulation. |
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- `train_stats.csv`: Energy, angular momentum, and other quantities at each training step. |
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- `ckpt_xxxxxx.npz`: Checkpoint of the final state, including network parameters, walker coordinates, and other relevant quantities. |
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- `energy/`: NetObs energy evaluation results with fixed parameters. |
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- `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. |
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For the electron densities of quasiparticle and quasihole states, the data are placed in `nxlx/kx/lz{angular momentum in the z direction}`, with: |
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- `density/`: NetObs evaluation of electron density. |
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## Code for Plotting Figures |
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- `prep.py`: Script to process data and create `energy_vs_n.csv` and `llm_1_3.csv` for use in plotting. |
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- `plot.ipynb`: Jupyter notebook for generating the plots. |
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