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 Repositoryhttps://github.com/hgribeirogeo/qaoa-carbon-cerrado ## CitationRibeiro, 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 ## LicenseMIT License ## ContactHugo José Ribeiro Federal University of Goiás hugoppgema@ufg.br