{"id":"W4318426183","doi":"10.1002/qute.202200125","title":"Imperfect Quantum Photonic Neural Networks","year":2023,"lang":"en","type":"article","venue":"Advanced Quantum Technologies","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Queen's University","funders":"Vector Institute; Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Photonics; Computer science; Quantum; Photon; Artificial neural network; Qubit; Physics; Quantum network; Nonlinear system; Quantum information; Electronic engineering; Topology (electrical circuits); Quantum mechanics; Engineering; Electrical engineering; Artificial intelligence","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":[0.0006600677,0.0002190781,0.0003165286,0.0002351623,0.0003098959,0.0008152354,0.0007676639,0.0007280886,0.002322694],"category_scores_gemma":[0.002313764,0.0001990779,0.0001639724,0.0001504776,0.001237177,0.001535451,0.0006439807,0.0005793182,0.0002157529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009896448,"about_ca_system_score_gemma":0.0005088822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247313,"about_ca_topic_score_gemma":0.001297291,"domain_scores_codex":[0.9997017,0.00007696702,0.00001522482,0.00005503182,0.00009759373,0.00005345085],"domain_scores_gemma":[0.9990786,0.0004745296,0.0001240658,0.000156273,0.0001193034,0.00004713011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001449086,0.00005498019,0.001131913,0.0001401719,0.00004824407,0.0001852471,0.00005255185,0.587218,0.0302007,0.3635148,0.001746984,0.01556149],"study_design_scores_gemma":[0.000006839944,0.00002264835,0.0002603278,0.000006418428,0.000006054967,0.00002902498,0.000008622734,0.9578735,0.004953996,0.03599906,0.0008256136,0.00000794428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5176659,0.0006840752,0.4309849,0.00194407,0.0002735607,0.00005187224,0.0002575963,0.0005975026,0.04754052],"genre_scores_gemma":[0.9867743,0.0001030266,0.01058821,0.00008647358,0.0000135033,0.00001944302,0.00003980393,0.00001195976,0.002363196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002322694,"threshold_uncertainty_score":0.00777024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548975689911472,"score_gpt":0.2572761786867841,"score_spread":0.2417864217876694,"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."}}