{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001486508,0.000455834,0.0007408148,0.0002335365,0.000685605,0.001078113,0.001230149,0.001032368,0.001356335],"category_scores_gemma":[0.00450036,0.0002906942,0.0002971712,0.0004918618,0.002616344,0.003589026,0.001795671,0.00115714,0.0003159483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009949892,"about_ca_system_score_gemma":0.0005679736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000717698,"about_ca_topic_score_gemma":0.0004247623,"domain_scores_codex":[0.9983591,0.0007028875,0.00005400833,0.0002657899,0.0004787231,0.0001394761],"domain_scores_gemma":[0.9977109,0.0009522256,0.0002357957,0.0008842199,0.0001090889,0.0001076988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008169282,0.0001703401,0.001127451,0.0001609989,0.00004224408,0.0002665731,0.0003648145,0.06143571,0.1146825,0.7750279,0.0006873314,0.04521713],"study_design_scores_gemma":[0.0002230906,0.0007995106,0.0005465693,0.00004007974,0.00005292979,0.0004601996,0.00007934208,0.5734276,0.1964941,0.2196458,0.008103677,0.0001271361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3387446,0.0006888772,0.646572,0.0008675937,0.0001518072,0.0001836797,0.00007444722,0.0007673719,0.01194962],"genre_scores_gemma":[0.8527319,0.0001877915,0.1450811,0.0001412079,0.00002628296,0.0001144499,0.00004087403,0.00003025341,0.001646035],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001486508,"threshold_uncertainty_score":0.007861495,"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."}}