hgribeirogeo/qaoa-carbon-cerrado: v2.0 - Seven-Run Validation Study
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2026
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| _version_ | 1866901573912756224 |
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| author | hgribeirogeo |
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| contents | <h2>QAOA+ZNE for Carbon Credit Portfolio Optimization</h2> <p>Complete dataset and code for QAOA+ZNE applied to carbon credit portfolio optimization in Goiás, Brazil.</p> <p>This study includes 7 independent hardware runs executed on IBM Quantum processors (ibm_torino, ibm_fez) between January 17 and February 2, 2026.</p> <p>## Key Results<br>- Mean ZNE score: 58.47 ± 6.98<br>- 31.6% improvement over classical baseline<br>- Statistical significance: p = 0.0009, Cohen's d = 2.01</p> <p>## Contents<br>- Raw measurement data for all 7 runs<br>- Complete QAOA+ZNE implementation (Qiskit)<br>- Analysis scripts (Python)<br>- Municipal datasets (carbon, biodiversity, social metrics)<br>- QUBO matrix and synergy matrices<br>- All 21 IBM Quantum job IDs for reproducibility</p> <p>## Full Manuscript<br> Available at: https://github.com/hgribeirogeo/qaoa-carbon-cerrado/tree/main/paper<br> arXiv: <a href="https://arxiv.org/abs/2602.09047">[2602.09047] Empirical Evaluation of QAOA with Zero Noise Extrapolation on NISQ Hardware for Carbon Credit Portfolio Optimization in the Brazilian Cerrado</a></p> <p>## GitHub Repository<br>https://github.com/hgribeirogeo/qaoa-carbon-cerrado</p> <p>## Citation<br>Ribeiro, H. J. (2026). QAOA with Zero Noise Extrapolation for Carbon Credit Portfolio Optimization in Brazilian Cerrado [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.18507119</p> <p>## License<br>MIT License</p> <p>## Contact<br>Hugo José Ribeiro <br>Federal University of Goiás <br>hugoppgema@ufg.br</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18507119 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | hgribeirogeo/qaoa-carbon-cerrado: v2.0 - Seven-Run Validation Study hgribeirogeo <h2>QAOA+ZNE for Carbon Credit Portfolio Optimization</h2> <p>Complete dataset and code for QAOA+ZNE applied to carbon credit portfolio optimization in Goiás, Brazil.</p> <p>This study includes 7 independent hardware runs executed on IBM Quantum processors (ibm_torino, ibm_fez) between January 17 and February 2, 2026.</p> <p>## Key Results<br>- Mean ZNE score: 58.47 ± 6.98<br>- 31.6% improvement over classical baseline<br>- Statistical significance: p = 0.0009, Cohen's d = 2.01</p> <p>## Contents<br>- Raw measurement data for all 7 runs<br>- Complete QAOA+ZNE implementation (Qiskit)<br>- Analysis scripts (Python)<br>- Municipal datasets (carbon, biodiversity, social metrics)<br>- QUBO matrix and synergy matrices<br>- All 21 IBM Quantum job IDs for reproducibility</p> <p>## Full Manuscript<br> Available at: https://github.com/hgribeirogeo/qaoa-carbon-cerrado/tree/main/paper<br> arXiv: <a href="https://arxiv.org/abs/2602.09047">[2602.09047] Empirical Evaluation of QAOA with Zero Noise Extrapolation on NISQ Hardware for Carbon Credit Portfolio Optimization in the Brazilian Cerrado</a></p> <p>## GitHub Repository<br>https://github.com/hgribeirogeo/qaoa-carbon-cerrado</p> <p>## Citation<br>Ribeiro, H. J. (2026). QAOA with Zero Noise Extrapolation for Carbon Credit Portfolio Optimization in Brazilian Cerrado [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.18507119</p> <p>## License<br>MIT License</p> <p>## Contact<br>Hugo José Ribeiro <br>Federal University of Goiás <br>hugoppgema@ufg.br</p> |
| title | hgribeirogeo/qaoa-carbon-cerrado: v2.0 - Seven-Run Validation Study |
| url | https://doi.org/10.5281/zenodo.18507119 |