{"id":"W4416844263","doi":"10.1038/s44335-025-00045-1","title":"Hybrid quantum-classical photonic neural networks","year":2025,"lang":"en","type":"article","venue":"npj Unconventional Computing","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada); Queen's University","funders":"Alliance de recherche numérique du Canada; Vector Institute; Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Research Chairs","keywords":"Photonics; Neuromorphic engineering; Artificial neural network; Scalability; Limit (mathematics); Hybrid system; Quantum","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005939073,0.0002926597,0.0003412437,0.0001900952,0.0006662423,0.0004165229,0.00137877,0.00008978874,0.00002333281],"category_scores_gemma":[0.00005108226,0.0002730821,0.0003304304,0.0007428144,0.00009426989,0.000295204,0.001251551,0.0006496392,0.00002245291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009995308,"about_ca_system_score_gemma":0.0001192549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001619511,"about_ca_topic_score_gemma":0.000003993088,"domain_scores_codex":[0.9972563,0.0002015903,0.0006057267,0.0007746343,0.0004314945,0.0007301926],"domain_scores_gemma":[0.9984346,0.0005241908,0.0001966856,0.000531406,0.0001655643,0.0001475728],"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":[0.00002341876,0.0001975334,0.002797468,0.00005911776,0.0001164382,0.0001478875,0.00002981039,0.4548688,0.0001588038,0.4352396,0.01133936,0.09502178],"study_design_scores_gemma":[0.0005035343,0.00004925046,0.002756893,0.0001358495,0.000009715674,0.00005922945,0.000004614179,0.9794797,0.00009469402,0.01308803,0.003558782,0.0002597021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1226405,0.000700549,0.8672298,0.002386907,0.003685768,0.0002100124,8.208818e-7,0.0004577796,0.002687882],"genre_scores_gemma":[0.992173,0.000005491873,0.005539807,0.001169777,0.0005304684,0.000004698667,0.00001139364,0.00001462039,0.0005507489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8695325,"threshold_uncertainty_score":0.9999722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370943738767846,"score_gpt":0.2585550716300627,"score_spread":0.2448456342423842,"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."}}