{"id":"W6929452888","doi":"10.48660/24110063","title":"A correspondence between quantum error correcting codes and quantum reference frames","year":2024,"lang":"en","type":"other","venue":"PIRSA","topic":"Plant Stress Responses and Tolerance","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Quantum; Quantum error correction; Error detection and correction; Quantum algorithm; Quantum operation; Quantum computer; Encoding (memory); Quantum channel","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001521924,0.0003334045,0.0004653706,0.00004407792,0.0001040723,0.0001613673,0.0003153717,0.0003600058,0.001481294],"category_scores_gemma":[0.0001086059,0.0001330771,0.00007522282,0.0002312008,0.0001194616,0.00004316628,0.0001512372,0.000436833,0.0006817592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001454677,"about_ca_system_score_gemma":0.00001505768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002468557,"about_ca_topic_score_gemma":0.002722687,"domain_scores_codex":[0.9984089,0.0001047301,0.0002274481,0.0006223683,0.0002621719,0.0003743789],"domain_scores_gemma":[0.9990436,0.0005367437,0.0001729433,0.00009288907,0.00002145702,0.0001324105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002401489,0.00007614065,0.01538295,0.0005098595,0.0001891664,0.0002766915,0.0002958123,7.234218e-7,0.005826769,0.001696473,0.7689161,0.2065892],"study_design_scores_gemma":[0.00006166557,0.0001548236,0.0138363,0.001205158,0.00005224204,0.00003616081,0.0002207281,0.0001932049,0.00007047018,0.0007227072,0.9829741,0.0004724795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7641584,0.03958729,0.00003587,0.001831318,0.002402378,0.0009322494,0.007340631,0.001616997,0.1820948],"genre_scores_gemma":[0.5890532,0.001476839,0.00004654192,0.0001328542,0.0009261417,0.00002940924,0.0001994467,0.00002728091,0.4081084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2260135,"threshold_uncertainty_score":0.9994315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04770788419754755,"score_gpt":0.2785030430304845,"score_spread":0.2307951588329369,"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."}}