{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0002888668,0.0004993303,0.0004972913,0.0001743809,0.0002814872,0.0004802268,0.002834225,0.0003354676,0.0000199526],"category_scores_gemma":[0.00001071053,0.000485952,0.0005001043,0.0009938333,0.00008660636,0.0001868436,0.009693586,0.001542433,0.0001736052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001639919,"about_ca_system_score_gemma":0.0001484302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000122572,"about_ca_topic_score_gemma":0.00005980611,"domain_scores_codex":[0.9969046,0.0001911975,0.00031954,0.001607035,0.0001614981,0.0008161832],"domain_scores_gemma":[0.9978184,0.000153315,0.0002403591,0.001382307,0.0001155837,0.0002900105],"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":[0.00001439311,0.00002977451,0.0003648637,0.0001099708,0.00009873362,0.0008945338,0.00006009945,0.8614841,0.000005389428,0.1279769,0.007644905,0.001316369],"study_design_scores_gemma":[0.0001791711,0.00005596062,0.0002283178,0.0002333929,0.00005581333,0.00001210042,0.00001212334,0.8550081,0.000006393262,0.1421635,0.001574799,0.0004703226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5982223,0.001423787,0.3837415,0.001035935,0.01038654,0.0007135025,0.0000113608,0.001445374,0.003019709],"genre_scores_gemma":[0.995822,0.0001323994,0.001028578,0.0002148025,0.0008696024,0.000001207358,0.00001215645,0.00003823678,0.001881083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3975996,"threshold_uncertainty_score":0.9997592,"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."}}