{"id":"W2417068188","doi":"10.1007/s11128-016-1363-3","title":"Generalized Ramsey numbers through adiabatic quantum optimization","year":2016,"lang":"en","type":"article","venue":"Quantum Information Processing","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"D-Wave Systems (Canada)","funders":"","keywords":"Ramsey's theorem; Adiabatic quantum computation; Ramsey theory; Quantum computer; Combinatorics; Order (exchange); Mathematics; Computation; Quantum; Adiabatic process; Discrete mathematics; Quantum mechanics; Physics; Algorithm; Graph","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018701,0.0002721332,0.0002508947,0.0001959778,0.0004792512,0.0006387354,0.0007469283,0.0001178623,0.00003645016],"category_scores_gemma":[0.0001616022,0.0001880737,0.00009054854,0.0007248122,0.00008013532,0.006428769,0.0001741513,0.0001513412,0.0001543483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008387775,"about_ca_system_score_gemma":0.0002084192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002384742,"about_ca_topic_score_gemma":6.256744e-7,"domain_scores_codex":[0.9979067,0.00008324367,0.0007023864,0.0003038144,0.0005048593,0.0004989882],"domain_scores_gemma":[0.9985747,0.00009850999,0.0004946057,0.0004460565,0.0002648578,0.000121247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002899577,0.00006867613,0.0001262398,0.0002420117,0.00003398303,0.000005761175,0.009268233,0.1740824,0.0003271403,0.1942316,0.001849687,0.6197352],"study_design_scores_gemma":[0.0007845747,0.00005812469,0.00006673689,0.0002155018,0.0000069155,0.00004200916,0.00006887734,0.9795892,0.0004448891,0.01227081,0.006100971,0.0003514517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02177665,0.0001149327,0.9732081,0.002431225,0.0005651247,0.0002036278,0.000004686199,0.0006931273,0.001002586],"genre_scores_gemma":[0.7370782,0.00004851895,0.2610149,0.001576471,0.0001447483,0.00002855105,0.00002209127,0.00002202014,0.00006455354],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8055067,"threshold_uncertainty_score":0.7669423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124272638650109,"score_gpt":0.2387721987477067,"score_spread":0.2275294723612056,"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."}}