{"id":"W2045522120","doi":"10.1109/tit.2013.2248031","title":"New Separations in Zero-Error Channel Capacity Through Projective Kochen–Specker Sets and Quantum Coloring","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Royal Society","keywords":"Chromatic scale; Projective test; Mathematics; Quantum entanglement; Quantum; Quantum channel; Zero (linguistics); Discrete mathematics; Graph; Channel (broadcasting); Exponential function; Graph coloring; Combinatorics; Pure mathematics; Computer science; Quantum mechanics; Physics; Mathematical analysis; Telecommunications","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":[0.001705316,0.0006364238,0.0006157327,0.001398065,0.001131033,0.002463203,0.001099951,0.001005837,0.003887696],"category_scores_gemma":[0.004512887,0.0004709696,0.0006500228,0.0009783645,0.005014267,0.005731165,0.002692619,0.002516903,0.000327898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780729,"about_ca_system_score_gemma":0.0009595783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005622327,"about_ca_topic_score_gemma":0.0005033612,"domain_scores_codex":[0.9985092,0.0004711617,0.0000580718,0.0002656284,0.000425433,0.0002704957],"domain_scores_gemma":[0.9962787,0.002177713,0.0003283691,0.0005939926,0.0003125033,0.0003087656],"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":[0.00003829132,0.00001885927,0.0001307134,0.00002082121,0.000006025239,0.00003581138,0.00006702715,0.01057025,0.001519918,0.9850814,0.0003360548,0.00217479],"study_design_scores_gemma":[0.0000201805,0.00003282936,0.000227229,0.0000143924,0.000009766908,0.00007450478,0.00004743405,0.1071374,0.002382465,0.8888376,0.001186385,0.000029897],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4632975,0.0007494296,0.4769918,0.001384151,0.000135628,0.0000750253,0.0003250258,0.0004778349,0.05656346],"genre_scores_gemma":[0.9696015,0.0002062245,0.02665771,0.0001581742,0.00007241259,0.00007376105,0.00006720467,0.00005708385,0.003105961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003887696,"threshold_uncertainty_score":0.01300561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185692337425882,"score_gpt":0.2447287314144044,"score_spread":0.2261594976718162,"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."}}