{"id":"W4417067847","doi":"10.1103/x56x-vld7","title":"Loss-tolerant parallelized Bell-state generation with a hybrid cat qudit","year":2025,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"ENCODE; Quantum; Quantum network; Encoding (memory); Quantum computer; Protocol (science); Photon; Quantum key distribution; Photonics","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":[0.001149561,0.0003127941,0.0006092063,0.000374178,0.0005756107,0.0009631146,0.001760541,0.0008376169,0.002619998],"category_scores_gemma":[0.0009608609,0.000434275,0.0003498314,0.0005748829,0.001133234,0.001590308,0.001742012,0.001421723,0.0005338024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009448444,"about_ca_system_score_gemma":0.0008127591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004857879,"about_ca_topic_score_gemma":0.0006296401,"domain_scores_codex":[0.999267,0.000153171,0.00003339511,0.0001358702,0.0003441873,0.00006639022],"domain_scores_gemma":[0.9993956,0.0001738952,0.00006921131,0.0002448032,0.00008424787,0.0000322055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006436543,0.000393264,0.0008419458,0.0007663455,0.0001569869,0.0006026838,0.0003528368,0.03419797,0.4776567,0.4089895,0.003846921,0.07155132],"study_design_scores_gemma":[0.0003738555,0.0009582039,0.0005497307,0.00006874594,0.0001116934,0.000763068,0.00008315625,0.3394248,0.5606206,0.04741146,0.04946277,0.0001718431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2464614,0.002348132,0.724991,0.001838744,0.0004634185,0.000915636,0.0003151259,0.001655684,0.02101087],"genre_scores_gemma":[0.7576013,0.000856988,0.2315682,0.0003658806,0.00004674243,0.0005721035,0.0002101686,0.00007557437,0.00870298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002619998,"threshold_uncertainty_score":0.008764803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208782900116491,"score_gpt":0.3257270450166536,"score_spread":0.3136392160154887,"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."}}