{"id":"W2952164897","doi":"10.48550/arxiv.1412.8649","title":"Controlled remote state preparation via partially entangled quantum channel","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Fundamental Research Funds for the Central Universities; Chongqing Science and Technology Commission; National Natural Science Foundation of China","keywords":"Qubit; Unitary state; State (computer science); Quantum channel; Channel (broadcasting); Topology (electrical circuits); W state; One-way quantum computer; Computer science; Cluster state; Quantum mechanics; Quantum; Physics; Quantum information; Mathematics; Computer network; Algorithm; Quantum error correction; Law; Combinatorics; Political 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":[0.001002275,0.0005530819,0.0005918265,0.0004479429,0.0005952329,0.0009669109,0.001461659,0.0007693425,0.003182747],"category_scores_gemma":[0.002072236,0.0003113713,0.0004775456,0.0004363893,0.001967006,0.002509508,0.002634359,0.001300933,0.0004897586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003180369,"about_ca_system_score_gemma":0.0006005287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002076814,"about_ca_topic_score_gemma":0.0002023875,"domain_scores_codex":[0.9986507,0.0004711729,0.00006587427,0.0002457991,0.0004103074,0.0001560877],"domain_scores_gemma":[0.9972463,0.00111658,0.0003387849,0.0009885541,0.0001833747,0.0001263928],"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":[0.0009099058,0.0005781309,0.001361763,0.0003895029,0.0001342407,0.0005362898,0.0004264224,0.06183815,0.1885533,0.6610872,0.003354689,0.08083047],"study_design_scores_gemma":[0.0003314888,0.0005571797,0.000444427,0.00003940055,0.00007703483,0.0004347066,0.00006605635,0.6303191,0.2449754,0.1132572,0.009309264,0.0001887587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1996713,0.0003777987,0.7826605,0.0006186009,0.0001540682,0.0002560363,0.0001443057,0.001028396,0.01508911],"genre_scores_gemma":[0.9190359,0.0001667682,0.07781025,0.0001249948,0.00005788855,0.000244707,0.0000805676,0.00005548817,0.002423567],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003182747,"threshold_uncertainty_score":0.0106473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03528240028605125,"score_gpt":0.1911286815893648,"score_spread":0.1558462813033135,"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."}}