{"id":"W2253909748","doi":"10.1038/ncomms10327","title":"Computational multiqubit tunnelling in programmable quantum annealers","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":241,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; D-Wave Systems (Canada)","funders":"Air Force Research Laboratory; Intelligence Advanced Research Projects Activity; NIH Office of the Director; Office of the Director of National Intelligence","keywords":"Quantum tunnelling; Qubit; Physics; Quantum; Quantum mechanics; Quantum computer; Quantum annealing; Statistical physics","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":[0.0004035324,0.0001473948,0.0001539534,0.0002049597,0.0002697073,0.0001003197,0.002531304,0.0001642867,0.000003458986],"category_scores_gemma":[0.0001219901,0.0001078886,0.00006964751,0.0007053549,0.0001226332,0.0002631588,0.0006485329,0.000664017,0.00003489828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006272172,"about_ca_system_score_gemma":0.00009046304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001937727,"about_ca_topic_score_gemma":0.00007973531,"domain_scores_codex":[0.9986551,0.000168282,0.000287292,0.0003365585,0.0002279895,0.0003248201],"domain_scores_gemma":[0.9974566,0.0007260154,0.0001040287,0.001490598,0.000137069,0.00008570691],"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":[0.00001313215,0.0006933179,0.01042193,0.00002217409,0.00005156757,0.00002042148,0.001947634,0.0820565,0.0007988047,0.539672,0.002400671,0.3619018],"study_design_scores_gemma":[0.0004172836,0.00002836774,0.00579134,0.00008929559,0.000001909543,0.00001517147,0.00001828465,0.9645581,0.00005052588,0.01178154,0.01706198,0.0001861937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1196654,0.006145291,0.7896132,0.07975777,0.0008792809,0.0008651946,0.00002711481,0.001169944,0.001876813],"genre_scores_gemma":[0.7677203,0.00007294922,0.2318195,0.0002765974,0.00003008307,0.00002192648,0.000008568757,0.000009738415,0.00004027423],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8825016,"threshold_uncertainty_score":0.4703835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848251195233611,"score_gpt":0.2871501849528571,"score_spread":0.268667673000521,"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."}}