{"id":"W3162246162","doi":"10.1016/j.cjph.2021.05.001","title":"Quantum computation: Algorithms and Applications","year":2021,"lang":"en","type":"article","venue":"Chinese Journal of Physics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Quantum computer; Computer science; Quantum algorithm; Quantum; Exploit; Quantum sort; Computation; Quantum information; Quantum technology; Algorithm; Theoretical computer science; Quantum network; Open quantum system; Quantum mechanics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001463191,0.0001107334,0.00020557,0.00003904921,0.000125123,0.0001363986,0.0002840091,0.00002493206,0.000001075938],"category_scores_gemma":[0.00002206446,0.00008072754,0.00008987754,0.0004778694,0.00003542952,0.0002220071,0.0001511301,0.0002193593,0.000002865362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001044779,"about_ca_system_score_gemma":0.0001114575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.346494e-7,"about_ca_topic_score_gemma":1.895142e-7,"domain_scores_codex":[0.9992137,0.00004512432,0.00025187,0.0001503245,0.0002228136,0.0001161498],"domain_scores_gemma":[0.9990597,0.0001352198,0.0002120015,0.0001754867,0.0003200264,0.00009749949],"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":[0.00000288363,0.000242492,0.0006557156,0.00004817457,0.0000779386,0.000130395,0.001345107,0.02508358,0.001357842,0.04856585,0.0003817234,0.9221083],"study_design_scores_gemma":[0.0004436614,0.00007573309,0.003628777,0.00003756778,0.00001154883,0.0009089942,0.00003061066,0.7648091,0.0004627348,0.2277241,0.00171135,0.000155788],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0600576,0.0008366401,0.9378518,0.0008202744,0.0002832318,0.00003325301,0.000001412578,0.00002326636,0.00009249129],"genre_scores_gemma":[0.7899832,0.00006622521,0.2079792,0.0002882543,0.001641816,0.000001542131,0.000002323952,0.00001183846,0.00002566478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9219525,"threshold_uncertainty_score":0.3291973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009882405269339123,"score_gpt":0.2630762659243543,"score_spread":0.2531938606550152,"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."}}