{"id":"W4391506147","doi":"10.48550/arxiv.2402.00653","title":"Coherent Feed Forward Quantum Neural Network","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Quantum; Feedforward neural network; Computer science; Artificial intelligence; Physics; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006395686,0.0004502851,0.0006153284,0.0002878036,0.0004374981,0.0009964923,0.001396372,0.001313624,0.003656739],"category_scores_gemma":[0.00257716,0.0003347806,0.000386518,0.0004558881,0.001157025,0.001978371,0.001008124,0.001541241,0.0005260311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071212,"about_ca_system_score_gemma":0.0009653185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002953297,"about_ca_topic_score_gemma":0.003557756,"domain_scores_codex":[0.9997467,0.00008027867,0.00001016161,0.00005734582,0.00006961486,0.00003590356],"domain_scores_gemma":[0.9993193,0.0003881975,0.00005288422,0.0000843568,0.0001247939,0.00003038395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009281083,0.00004713703,0.0005253917,0.0001051426,0.00004671226,0.00009404807,0.00005832087,0.7574481,0.003314394,0.2011008,0.003195097,0.03397201],"study_design_scores_gemma":[0.000004155504,0.000006696084,0.00002614086,0.000003597477,0.000002949646,0.000006258507,0.000002496176,0.9790309,0.0003403008,0.02012337,0.0004493108,0.000003796327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04528198,0.0009071492,0.9368567,0.001866177,0.0002222969,0.00005059156,0.0002634213,0.0007567749,0.01379486],"genre_scores_gemma":[0.875333,0.0008164062,0.1067993,0.0006438897,0.0001196091,0.0001695319,0.0002825407,0.000101734,0.01573399],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003656739,"threshold_uncertainty_score":0.01223302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05772455438076943,"score_gpt":0.1921449586723487,"score_spread":0.1344204042915793,"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."}}