{"id":"W2015425815","doi":"10.1103/physreva.85.032303","title":"Algorithmic approach to adiabatic quantum optimization","year":2012,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"D-Wave Systems (Canada)","funders":"","keywords":"Maxima and minima; Hamiltonian (control theory); Adiabatic process; Degenerate energy levels; Adiabatic quantum computation; Qubit; Quantum; Eigenvalues and eigenvectors; Physics; Quantum phase estimation algorithm; Statistical physics; Quantum mechanics; Mathematics; Quantum computer; Mathematical optimization; Quantum error correction; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001180405,0.0005843137,0.0006849646,0.0006182751,0.0008661379,0.0009534563,0.001987207,0.000930301,0.005298187],"category_scores_gemma":[0.003620767,0.0004585513,0.000612514,0.0007093246,0.001586154,0.001274791,0.001911028,0.001756495,0.0005431054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063715,"about_ca_system_score_gemma":0.001891291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001961951,"about_ca_topic_score_gemma":0.002943749,"domain_scores_codex":[0.9992587,0.0003098546,0.00002870058,0.00009185921,0.0002358621,0.00007504442],"domain_scores_gemma":[0.9989169,0.0007035754,0.00005197328,0.0001707822,0.0001256568,0.00003121073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003827703,0.0000585564,0.0003092159,0.0001018951,0.00003340283,0.0000448575,0.00008299866,0.5287952,0.001170726,0.4314508,0.001489356,0.03642463],"study_design_scores_gemma":[0.00001655899,0.00001724663,0.00004075558,0.000007685769,0.000004481701,0.0000121375,0.00001153359,0.8858344,0.0003392322,0.112484,0.001227276,0.000004779289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009471639,0.0001525728,0.9775817,0.0003892541,0.00003039717,0.00008315225,0.00003989783,0.000177712,0.01207374],"genre_scores_gemma":[0.2813958,0.0003237756,0.7122107,0.0002300399,0.00008308753,0.000523727,0.000130524,0.000127635,0.004974725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005298187,"threshold_uncertainty_score":0.01772422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01617086467743956,"score_gpt":0.2787370758462664,"score_spread":0.2625662111688269,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}