{"id":"W2808544372","doi":"10.22606/jaam.2018.33002","title":"Mathematical Methods for a Quantum Annealing Computer","year":2018,"lang":"en","type":"article","venue":"Journal of Advances in Applied Mathematics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Quantum annealing; Computer science; Quantum computer; Quantum; Statistical physics; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001223252,0.0006183375,0.0006026895,0.001081249,0.001162386,0.001586453,0.001501244,0.001579966,0.01044685],"category_scores_gemma":[0.002889003,0.0005121437,0.001230481,0.0006984124,0.002807728,0.002655357,0.001600075,0.003247247,0.00237672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394804,"about_ca_system_score_gemma":0.001287515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706353,"about_ca_topic_score_gemma":0.001356089,"domain_scores_codex":[0.9992332,0.000269547,0.00004885409,0.0001223117,0.0002769357,0.00004908587],"domain_scores_gemma":[0.9992707,0.0004210739,0.00005381676,0.0001194757,0.0001073712,0.00002754966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002323026,0.000004901272,0.00002508842,0.00003353439,0.000004618471,0.00001130972,0.00004302756,0.009577414,0.0003135692,0.9852284,0.0009422525,0.003813491],"study_design_scores_gemma":[0.000008320172,0.00001340775,0.00004885427,0.00003645261,0.000005523729,0.00004894871,0.00002067638,0.1030067,0.0003088265,0.8677944,0.02869393,0.00001389656],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002025387,0.002316753,0.9525697,0.001834209,0.0003491849,0.00007647136,0.00008882371,0.0001454422,0.040594],"genre_scores_gemma":[0.1608791,0.004433861,0.7904229,0.001129214,0.0006923414,0.001004477,0.0001984994,0.0003642726,0.04087533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01044685,"threshold_uncertainty_score":0.03494817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763655803757971,"score_gpt":0.350912140588235,"score_spread":0.3332755825506553,"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."}}