Model for Hamiltonian¶
- Description: This is a benchmark to evaluate how accurately an QC model can predict electronic bands of aluminum (JVASP-816) produced using Wannier tight binding Hamiltonian approach.
Reference(s): https://www.nature.com/articles/s41524-020-00440-1, https://iopscience.iop.org/article/10.1088/1361-648X/ac1154/meta, https://doi.org/10.48550/arXiv.2305.11842
Model benchmarks
| Model name | Dataset | MAE | Team name | Dataset size | Date submitted | Notes |
|---|---|---|---|---|---|---|
| qiskit_vqd_SU2_c1 | dft_3d | 0.7730068966739793 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-816 |
| qiskit_vqd_SU2_c3 | dft_3d | 0.7414775289252314 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-816 |
| qiskit_vqd_SU2_c5 | dft_3d | 2.3731045049796013 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-816 |
| qiskit_vqd_SU2_c2 | dft_3d | 0.7185916430119659 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-816 |
| qiskit_vqd_SU2_c6 | dft_3d | 0.002963733593749998 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-816 |
| qiskit_vqd_SU2_c4 | dft_3d | 0.2005944636103315 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-816 |