{"id":"W1991447386","doi":"10.1103/physrevlett.88.187901","title":"Approximate Quantum Cloning with Nuclear Magnetic Resonance","year":2002,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Quantum cloning; Physics; Qubit; Quantum decoherence; Cloning (programming); Quantum computer; Resonance (particle physics); Quantum; Quantum mechanics; Nuclear magnetic resonance; Quantum error correction; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.00009933294,0.0001566639,0.0002389925,0.00004394378,0.0001020961,0.0001037257,0.0005784911,0.000006275642,0.00005930775],"category_scores_gemma":[0.00001136828,0.0001156525,0.0001137951,0.0006052048,0.00007764565,0.0005476837,0.00007416016,0.0001576807,0.0005791044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001202483,"about_ca_system_score_gemma":0.000003275678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002372716,"about_ca_topic_score_gemma":1.155688e-7,"domain_scores_codex":[0.9988754,0.00005124669,0.0002015145,0.0002488518,0.0003334714,0.0002894672],"domain_scores_gemma":[0.9992546,0.00003688543,0.00009185627,0.0004925114,0.00002794506,0.00009615229],"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":[0.000008586279,0.000390919,0.0001610764,0.001558431,0.00002407304,0.00004975007,0.001718022,0.00006317829,0.001238842,0.715494,0.07918153,0.2001116],"study_design_scores_gemma":[0.0004761489,0.0002507577,0.0009587709,0.001735637,0.00002942706,0.00004059301,0.00001167766,0.6498971,0.00004568546,0.0007923936,0.345167,0.0005948213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3876617,0.1734092,0.2447792,0.1571143,0.0006584135,0.003362633,0.00001200575,0.003232897,0.0297697],"genre_scores_gemma":[0.8460365,0.009886509,0.01387824,0.1299423,0.0001261857,0.00007467218,0.000002256516,0.00003497109,0.0000183448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7147016,"threshold_uncertainty_score":0.7443408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372782141874459,"score_gpt":0.2266139549799453,"score_spread":0.2128861335612007,"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."}}