{"id":"W2753021805","doi":"10.1088/2058-9565/aab6ba","title":"Viewing vanilla quantum annealing through spin glasses","year":2018,"lang":"en","type":"article","venue":"Quantum Science and Technology","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"QLT (Canada)","funders":"Intelligence Advanced Research Projects Activity; National Science Foundation","keywords":"Quantum annealing; Qubit; Heuristics; Quantum computer; Computer science; Quantum; Simulated annealing; Scope (computer science); Quadratic unconstrained binary optimization; Computer engineering; Spin glass; Physics; Algorithm; Quantum mechanics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001010374,0.0002637923,0.0003112914,0.0006217615,0.001380719,0.000373753,0.002137583,0.0001578985,0.000005088486],"category_scores_gemma":[0.000410629,0.000217554,0.00003974253,0.004380181,0.002553094,0.0007823378,0.001226991,0.0003457258,0.00005707956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004731835,"about_ca_system_score_gemma":0.0003061819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005141999,"about_ca_topic_score_gemma":0.000005034195,"domain_scores_codex":[0.9970374,0.00003584269,0.0003432905,0.001086564,0.0005534642,0.0009434341],"domain_scores_gemma":[0.9982634,0.000087266,0.0001566027,0.0009037707,0.0004612732,0.000127675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002986434,0.00004346926,0.0007635979,0.00002016676,0.000009990838,0.0000451064,0.001679652,0.00001694623,0.02786826,0.8618224,0.0002800645,0.1074474],"study_design_scores_gemma":[0.0002839344,0.0007815959,0.0006638048,0.00010923,0.000006648068,0.0004187871,0.0002623815,0.7554319,0.02882847,0.184715,0.02799842,0.0004998653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8116543,0.0008069888,0.1775839,0.007255904,0.001103996,0.000150091,0.000001321824,0.0009287674,0.000514765],"genre_scores_gemma":[0.9501151,0.0000762733,0.04901398,0.0005814417,0.0001792621,0.00000703259,2.972037e-7,0.00001243826,0.00001416901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7554149,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518996267639541,"score_gpt":0.2791697663797089,"score_spread":0.2639798037033135,"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."}}