{"id":"W2938693938","doi":"10.1109/tit.2021.3063093","title":"Polarization of Quantum Channels using Clifford-based Channel Combining","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Future Earth","funders":"Agence Nationale de la Recherche","keywords":"Polar; Computer science; Quantum; 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":[0.001186867,0.0006688802,0.0007665491,0.001042251,0.001144952,0.002830632,0.00076936,0.001134476,0.008008569],"category_scores_gemma":[0.001722263,0.0004783574,0.0008003276,0.001804194,0.001759923,0.002332957,0.002261279,0.001656918,0.001206849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007408554,"about_ca_system_score_gemma":0.0007384353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003829611,"about_ca_topic_score_gemma":0.0004805129,"domain_scores_codex":[0.9990001,0.0003469024,0.00003466281,0.0001106033,0.0003527648,0.0001550238],"domain_scores_gemma":[0.9989299,0.0005238254,0.00006215457,0.0002409721,0.0001577134,0.00008550559],"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":[0.0004331538,0.0001392025,0.0006456071,0.0001173484,0.00007075945,0.0001719987,0.000289198,0.03573658,0.02686785,0.8629476,0.004561891,0.0680189],"study_design_scores_gemma":[0.0000878203,0.0001583389,0.0005556523,0.00007597663,0.00006416975,0.0003915002,0.00009016745,0.4395876,0.04494477,0.4955857,0.01830894,0.0001494183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.111376,0.001126284,0.7443307,0.001401982,0.0006137461,0.0001368263,0.0002090447,0.001145149,0.1396603],"genre_scores_gemma":[0.8916633,0.0007657573,0.09352405,0.0003349945,0.0003347363,0.00009254232,0.0001513011,0.000195117,0.01293816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008008569,"threshold_uncertainty_score":0.02679133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0603554964731222,"score_gpt":0.2015982626579913,"score_spread":0.1412427661848691,"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."}}