{"id":"W2952899251","doi":"10.48550/arxiv.1404.4134","title":"Solution to time-energy costs of quantum channels","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; Hong Kong Polytechnic University; National Science Foundation","keywords":"Channel (broadcasting); Energy (signal processing); Semidefinite programming; Quantum; Energy cost; Class (philosophy); Physics; Computer science; Quantum mechanics; Mathematics; Statistical physics; Mathematical optimization; Telecommunications; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001371322,0.0009334597,0.0009504312,0.0007784127,0.0008581463,0.002158153,0.00181009,0.001954243,0.01929876],"category_scores_gemma":[0.0090004,0.0005388516,0.0006768461,0.0009837886,0.001670136,0.003508582,0.002454468,0.003075879,0.000838523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00251521,"about_ca_system_score_gemma":0.001885016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001212568,"about_ca_topic_score_gemma":0.0014024,"domain_scores_codex":[0.9988186,0.0003149173,0.00004531443,0.0001888078,0.0003544058,0.000277979],"domain_scores_gemma":[0.9962162,0.002582281,0.000212986,0.0003583234,0.0004306597,0.0001995584],"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":[0.0000915113,0.00004723437,0.0001564458,0.0000911661,0.0000163539,0.00006019674,0.00006931067,0.1541394,0.001142748,0.8308301,0.002926318,0.01042932],"study_design_scores_gemma":[0.00002545651,0.00001942002,0.0001019216,0.00001971131,0.000007197486,0.00004039833,0.00004650861,0.4479253,0.0007811121,0.5493943,0.001622601,0.00001601969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07573213,0.0005731136,0.8689899,0.002736879,0.0002401301,0.0001328363,0.0005503378,0.0002136299,0.05083094],"genre_scores_gemma":[0.7931297,0.0007122635,0.1717756,0.0004692466,0.0002378641,0.0005730317,0.0004325006,0.0004163624,0.03225338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01929876,"threshold_uncertainty_score":0.06456077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735022947158161,"score_gpt":0.1778625837421157,"score_spread":0.1505123542705341,"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."}}