{"id":"W2959171759","doi":"10.1038/s41534-021-00381-7","title":"An artificial spiking quantum neuron","year":2021,"lang":"en","type":"preprint","venue":"npj Quantum Information","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Vector Institute; Creative Destruction Lab; Perimeter Institute; University of Toronto","funders":"Office of Naval Research; Office of Science; Army Research Office; Danmarks Frie Forskningsfond; Advanced Scientific Computing Research; Carlsbergfondet; Natur og Univers, Det Frie Forskningsråd; U.S. Department of Energy","keywords":"Neuromorphic engineering; Computer science; Spiking neural network; Quantum; Biological neuron model; Artificial neural network; Quantum computer; Artificial intelligence; Implementation; Graph; Theoretical computer science; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001536849,0.00009728855,0.0002197492,0.00009617099,0.0003426317,0.0005698074,0.0006131603,0.000711289,0.00288965],"category_scores_gemma":[0.000383064,0.0001020205,0.0002358838,0.0001667326,0.0006519044,0.0004873551,0.0005365044,0.0003900526,0.0003236061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003723224,"about_ca_system_score_gemma":0.0003312714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007086688,"about_ca_topic_score_gemma":0.0005224394,"domain_scores_codex":[0.9998975,0.00002090285,0.000006796059,0.00002458302,0.00003192257,0.00001831251],"domain_scores_gemma":[0.9998647,0.00002968464,0.0000110192,0.00002669044,0.00003483563,0.00003316146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002424756,0.0001675968,0.001435155,0.000216217,0.00008889141,0.001001302,0.000189467,0.1908687,0.3793522,0.3777869,0.003625068,0.0450261],"study_design_scores_gemma":[0.00003039945,0.0001375007,0.0005755868,0.00001591787,0.00002208523,0.000221871,0.00003796653,0.8836277,0.04572513,0.06147852,0.008098865,0.00002855415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5433361,0.000312453,0.408086,0.001810656,0.0005775571,0.0001142754,0.0002154143,0.001177303,0.0443702],"genre_scores_gemma":[0.9632259,0.00009091658,0.03168274,0.0001456839,0.0000136619,0.00002891615,0.00004046197,0.00002404698,0.004747724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00288965,"threshold_uncertainty_score":0.00966686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599372097957333,"score_gpt":0.260381481664875,"score_spread":0.2343877606853017,"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."}}