{"id":"W3212143346","doi":"10.1515/nanoph-2021-0510","title":"Scalable and effective multi‐level entangled photon states: a promising tool to boost quantum technologies","year":2021,"lang":"en","type":"article","venue":"Nanophotonics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Research Council; European Commission; 1000 Talents Sichuan Program; John Templeton Foundation","keywords":"Computer science; Quantum entanglement; Quantum sensor; Photon entanglement; Quantum technology; Photon; Scalability; Quantum computer; Quantum metrology; Computer engineering; Quantum key distribution; Robustness (evolution); Electronic engineering; Photonics; Physics; Quantum network; Quantum; Quantum mechanics; Engineering; Open quantum system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001041323,0.0005063844,0.0004588742,0.0005759111,0.0004538168,0.001650726,0.0008744085,0.001281672,0.005400206],"category_scores_gemma":[0.001451626,0.0003880177,0.0003005315,0.0005253732,0.001382769,0.003303769,0.002185795,0.00206706,0.001421092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007176464,"about_ca_system_score_gemma":0.0004713035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000203406,"about_ca_topic_score_gemma":0.0002403941,"domain_scores_codex":[0.9995011,0.00009640116,0.00001784224,0.0000808723,0.0002289889,0.00007473226],"domain_scores_gemma":[0.9992243,0.0002744659,0.00008620769,0.0001688841,0.0001489219,0.00009722643],"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":[0.0001277835,0.0001581524,0.000489477,0.0009237261,0.00004511381,0.0002953085,0.000203718,0.01510095,0.2311454,0.6659365,0.01100069,0.07457318],"study_design_scores_gemma":[0.00006258267,0.000559208,0.0007356895,0.000437014,0.00004907072,0.0003631935,0.0001720921,0.1515193,0.2610924,0.3535966,0.2312637,0.0001492204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1088145,0.04786571,0.7532889,0.008825124,0.002141701,0.0003077308,0.0007910545,0.002569399,0.07539602],"genre_scores_gemma":[0.7953749,0.02055813,0.1745805,0.001177703,0.0007380964,0.0002965922,0.0003617482,0.0003288535,0.006583423],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005400206,"threshold_uncertainty_score":0.01806551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411849559459984,"score_gpt":0.2461106810637879,"score_spread":0.231992185469188,"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."}}