{"engine":"qaoa_maxcut","result":{"result":{"expected_cut_edges":7.641,"random_cut_edges":5,"sdp_bound_edges":8.78,"approximation_ratio":0.8703,"improvement_vs_random_pct":52.83},"secondary_result":52.83,"primary_metric":"figure_of_merit","metric_unit":"a.u.","model_primary_metric":"figure_of_merit","secondary_metric":"noise_penalty","kinetic_models":null,"dissolution_profile":null,"f2_similarity_factor":null,"acceptance_criteria":null,"literature_support":[{"doi":"10.48550/arXiv.1411.4028","url":"https://doi.org/10.48550/arXiv.1411.4028","title":"A Quantum Approximate Optimization Algorithm","journal":"arXiv","year":2014,"citations":4000}],"usp_method":null,"epistemic_uncertainty":0,"aleatoric_uncertainty":0,"calibration_score":0.5,"uncertainty":8.8,"confidence":0.92,"confidence_grade":"B","recommendation":"中等置信：建议与独立实验或原始文献交叉验证后再采信","empirical_uncertainty_pct":8.8,"model":"QAOA-MaxCut-Estimator","model_details":{"method":"QAOA depth-p 饱和收敛模型（对照 Goemans-Williamson SDP 上界）","reference":"Farhi et al., arXiv:1411.4028 (2014)"},"engine":"qaoa_maxcut","category":"Quantum","reference_params":{"doi":"10.48550/arXiv.1411.4028","title":"A Quantum Approximate Optimization Algorithm","journal":"arXiv","year":2014,"citations":4000,"source":"literature","note":"该引擎为解析物理模型, 以下为方法学依据文献而非实验数据集"},"paper_reference":{"doi":"10.48550/arXiv.1411.4028","title":"A Quantum Approximate Optimization Algorithm","journal":"arXiv","year":2014},"validation_stats":{"method":"analytic_physics","empirical_validated":0,"mean_error_pct":null,"reliability_pct":null,"literature_validated":1,"literature_coverage":4,"confidence_grade":"B"}},"status":"success","evidence":{"literature_coverage":4,"negative_samples":0,"feedback_n":0,"calibrated":false},"timestamp":"2026-10-04T09:02:23.992Z"}