hgribeirogeo/qaoa-carbon-cerrado: v2.0 - Seven-Run Validation Study

QAOA+ZNE for Carbon Credit Portfolio Optimization

Complete dataset and code for QAOA+ZNE applied to carbon credit portfolio optimization in Goiás, Brazil.

This study includes 7 independent hardware runs executed on IBM Quantum processors (ibm_torino, ibm_fez) between January 17 and February 2, 2026.

## Key Results
- Mean ZNE score: 58.47 ± 6.98
- 31.6% improvement over classical baseline
- Statistical significance: p = 0.0009, Cohen's d = 2.01

## Contents
- Raw measurement data for all 7 runs
- Complete QAOA+ZNE implementation (Qiskit)
- Analysis scripts (Python)
- Municipal datasets (carbon, biodiversity, social metrics)
- QUBO matrix and synergy matrices
- All 21 IBM Quantum job IDs for reproducibility

## Full Manuscript
📄 Available at: https://github.com/hgribeirogeo/qaoa-carbon-cerrado/tree/main/paper
📄 arXiv: [2602.09047] Empirical Evaluation of QAOA with Zero Noise Extrapolation on NISQ Hardware for Carbon Credit Portfolio Optimization in the Brazilian Cerrado

## GitHub Repository
https://github.com/hgribeirogeo/qaoa-carbon-cerrado

## Citation
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

## License
MIT License

## Contact
Hugo José Ribeiro  
Federal University of Goiás  
hugoppgema@ufg.br