{"id":"W2975703322","doi":"10.1103/physreva.100.032330","title":"Quantum teleportation of photonic qudits using linear optics","year":2019,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Advanced Research Projects Agency; Defense Advanced Research Projects Agency; East China Normal University; Science and Technology Commission of Shanghai Municipality; Russian Foundation for Basic Research; National Natural Science Foundation of China; York University; New York University Shanghai; U.S. Air Force; Shanghai Rising-Star Program; Natural Science Foundation of Shanghai; China Science and Technology Exchange Center; National Science Foundation","keywords":"Physics; Quantum teleportation; Quantum mechanics; Teleportation; Qubit; Photon; Photon entanglement; Photonics; Quantum entanglement; W state; Superdense coding; Quantum optics; Quantum network; Topology (electrical circuits); Quantum channel; Quantum; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001670108,0.0003241999,0.0004823787,0.0004762477,0.0007220928,0.001533341,0.001031654,0.001010382,0.002380537],"category_scores_gemma":[0.002874602,0.0004177964,0.0004989625,0.0006887039,0.002377238,0.002902534,0.001630801,0.001949441,0.000408205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143647,"about_ca_system_score_gemma":0.0007212754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002832219,"about_ca_topic_score_gemma":0.0002840913,"domain_scores_codex":[0.9987646,0.0004454846,0.00005949403,0.0001806987,0.0004351342,0.0001145582],"domain_scores_gemma":[0.9985977,0.0008022514,0.0001755122,0.0002837169,0.0001105153,0.00003035986],"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":[0.00007396922,0.00008531385,0.0002670049,0.0005845838,0.00004138386,0.000164175,0.000136913,0.00865799,0.04148715,0.9094528,0.00151367,0.03753508],"study_design_scores_gemma":[0.0001728113,0.0005185679,0.0009037631,0.0002435011,0.00007881957,0.0007804083,0.0001336328,0.1094508,0.3116623,0.4827628,0.09309293,0.0001996181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1401266,0.01820707,0.7621331,0.006480277,0.0008983364,0.000446146,0.0002439905,0.0005309653,0.0709335],"genre_scores_gemma":[0.8209869,0.01286559,0.1567281,0.0006856335,0.0001924799,0.0003532376,0.0001167511,0.00007112193,0.008000108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002380537,"threshold_uncertainty_score":0.008832455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246143612531845,"score_gpt":0.3596500234246603,"score_spread":0.3371885872993419,"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."}}