{"id":"W2083041493","doi":"10.1103/physrevlett.94.180501","title":"Unified and Generalized Approach to Quantum Error Correction","year":2005,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":295,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Perimeter Institute; University of Waterloo","funders":"","keywords":"Quantum error correction; Error detection and correction; Decoherence-free subspaces; Quantum decoherence; Quantum; Computer science; Linear subspace; Operator (biology); Algorithm; Quantum capacity; Quantum algorithm; Quantum mechanics; Quantum computer; Mathematics; Physics; Quantum network; Pure mathematics","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":[0.001239286,0.0005493001,0.0008771477,0.0008657979,0.000897077,0.001298415,0.001937393,0.001220174,0.003481578],"category_scores_gemma":[0.002268199,0.0002507049,0.0008500629,0.000724477,0.002878447,0.003574916,0.002477872,0.002118737,0.00064191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008212614,"about_ca_system_score_gemma":0.001403888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008643916,"about_ca_topic_score_gemma":0.0007190785,"domain_scores_codex":[0.9984002,0.0004831007,0.00006947928,0.0001933597,0.0007289728,0.0001248904],"domain_scores_gemma":[0.9988606,0.0002639288,0.00006893514,0.000433941,0.0003140518,0.00005860808],"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":[0.000008033192,0.000007971985,0.00003896354,0.00003212477,0.000006556413,0.00002254155,0.00007826458,0.005729564,0.001343557,0.9863905,0.0003822802,0.005959663],"study_design_scores_gemma":[0.00001375241,0.00005776194,0.0000782802,0.0000293144,0.00002050313,0.0001102878,0.00004273975,0.1545334,0.002947975,0.8282291,0.01389394,0.00004287532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01120253,0.0005922801,0.9700128,0.0005732907,0.0002769588,0.00005106219,0.00004670686,0.0001737874,0.0170706],"genre_scores_gemma":[0.4742861,0.0020773,0.4974447,0.0008392017,0.0006885733,0.0003029132,0.000111302,0.0002144709,0.02403541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003481578,"threshold_uncertainty_score":0.01164699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02390449772794459,"score_gpt":0.2812254180696845,"score_spread":0.2573209203417399,"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."}}