{"id":"W4360614840","doi":"10.3390/ma16072561","title":"Material-Inherent Noise Sources in Quantum Information Architecture","year":2023,"lang":"en","type":"review","venue":"Materials","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canada First Research Excellence Fund; Industry Canada","keywords":"Computer science; Quantum computer; Noise (video); Quantum entanglement; Quantum; Quantum technology; Quantum information; Quantum information science; Scale (ratio); Coherence (philosophical gambling strategy); Computer engineering; Open quantum system; Artificial intelligence; Physics; Quantum mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002922874,0.0004749729,0.0005496041,0.001188062,0.0003576359,0.0007874393,0.0005131483,0.0008303836,0.002086637],"category_scores_gemma":[0.0004040343,0.0003148901,0.0003338089,0.001254035,0.0006020519,0.001193861,0.0004935794,0.001126389,0.0009021285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005024621,"about_ca_system_score_gemma":0.0006851861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005779785,"about_ca_topic_score_gemma":0.0008922334,"domain_scores_codex":[0.9998492,0.00001991442,0.00001417817,0.0000294254,0.00007104476,0.00001618475],"domain_scores_gemma":[0.9998652,0.00008181669,0.00001438342,0.00000655482,0.00002692738,0.000005021041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005118193,0.00007973524,0.0003178357,0.02784529,0.00007182083,0.0004403348,0.0002394734,0.001951121,0.01885248,0.1253744,0.01901522,0.8057612],"study_design_scores_gemma":[0.000004880798,0.00008869228,0.0003923766,0.00225219,0.00005515076,0.0009475282,0.00006787166,0.0005771039,0.00701405,0.01427514,0.9742988,0.00002639025],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001014293,0.990612,0.001651712,0.0004024589,0.0003445051,0.00001029649,0.00002826568,0.00002010779,0.005916516],"genre_scores_gemma":[0.007627255,0.98911,0.001064811,0.000248207,0.0002079593,0.0000197401,0.00003502813,0.000004757934,0.001682405],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002086637,"threshold_uncertainty_score":0.006980479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620744712437211,"score_gpt":0.2898630875977404,"score_spread":0.2436556404733683,"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."}}