{"id":"W1984021697","doi":"10.1103/revmodphys.87.307","title":"Quantum error correction for quantum memories","year":2015,"lang":"en","type":"article","venue":"Reviews of Modern Physics","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1360,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Government of Canada","keywords":"Quantum error correction; Quantum convolutional code; Quantum computer; Quantum information; Quantum network; Quantum capacity; Physics; Quantum algorithm; Quantum technology; Error detection and correction; Qubit; Computer science; Quantum; Quantum mechanics; Computer engineering; Theoretical computer science; Open quantum system; Algorithm","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":[0.0006835587,0.0004591529,0.0007670869,0.0005830117,0.0005699855,0.001213179,0.001020717,0.001788247,0.007707614],"category_scores_gemma":[0.001777978,0.0002374527,0.0003687977,0.0007239177,0.001934987,0.002707816,0.000962295,0.001945791,0.001511686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000890645,"about_ca_system_score_gemma":0.0006713293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000370835,"about_ca_topic_score_gemma":0.000485609,"domain_scores_codex":[0.9995894,0.0001218031,0.00002507096,0.00006539912,0.0001551339,0.00004329362],"domain_scores_gemma":[0.999509,0.0002797957,0.0000342677,0.00007638989,0.00008589516,0.00001464701],"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":[0.0000274813,0.00002042652,0.00006252422,0.001228235,0.00002264825,0.0001082564,0.0001125276,0.002376464,0.004354608,0.8965328,0.01021568,0.08493835],"study_design_scores_gemma":[0.00001676057,0.0001121183,0.000153036,0.0006122129,0.00003046532,0.0005479438,0.00006405217,0.009863295,0.006740274,0.6220418,0.3597748,0.00004326363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01170777,0.676391,0.1838274,0.01003786,0.007097113,0.0001519687,0.0001836301,0.0004622088,0.1101411],"genre_scores_gemma":[0.4015789,0.4459992,0.07889009,0.00446298,0.006379416,0.000387752,0.0002451563,0.0001782096,0.06187832],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.007707614,"threshold_uncertainty_score":0.02578455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06872378524531718,"score_gpt":0.3073383557645855,"score_spread":0.2386145705192683,"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."}}