{"id":"W4237378407","doi":"10.1038/ncomms4074","title":"Quantum computing on encrypted data","year":2014,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":155,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"FP7 People: Marie-Curie Actions; Austrian Science Fund; Bundesministerium für Wissenschaft und Forschung; Industry Canada; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; European Commission; Canadian Institute for Advanced Research","keywords":"Encryption; Quantum computer; Computer science; Qubit; Quantum information; Theoretical computer science; Quantum cryptography; Quantum algorithm; Quantum key distribution; Key (lock); Quantum; Computer engineering; Computer network; Physics; Quantum mechanics; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.000619892,0.0001083354,0.0001093696,0.0001758044,0.0004567074,0.000179717,0.008279976,0.0001367234,0.000006473815],"category_scores_gemma":[0.0002641138,0.00009848532,0.0000432308,0.0007063265,0.0000771022,0.000553688,0.001774134,0.0007732419,0.0001989714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000130373,"about_ca_system_score_gemma":0.0000316372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005384542,"about_ca_topic_score_gemma":0.00001982504,"domain_scores_codex":[0.9989308,0.000180277,0.000244575,0.0002241221,0.0002454686,0.0001747509],"domain_scores_gemma":[0.9919026,0.0004904957,0.0001307555,0.007281476,0.0001197012,0.00007494693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.716191e-7,0.00004758169,0.0001527077,0.000002093457,0.000006954226,6.33399e-8,0.0001638284,0.00001377541,0.00002103273,0.9679313,0.01329303,0.01836686],"study_design_scores_gemma":[0.0001430488,0.00002508184,0.003684924,0.00001565211,0.00000296456,0.000003100466,0.0000236545,0.6276183,0.00003395214,0.004558543,0.3637737,0.0001170984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00282528,0.0008772812,0.8643042,0.02388826,0.0008240356,0.0002742684,0.00002275591,0.00102129,0.1059626],"genre_scores_gemma":[0.923574,0.00005981273,0.07194397,0.004220211,0.00003479699,0.000003193424,0.0001496551,0.000005594912,0.000008773714],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9633728,"threshold_uncertainty_score":0.9970857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100484503194773,"score_gpt":0.3189444021472903,"score_spread":0.2779395571153425,"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."}}