{"id":"W2108552637","doi":"10.1063/1.4943622","title":"Towards a feasible implementation of quantum neural networks using quantum dots","year":2016,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Quantum and electron transport phenomena","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education and Science of the Russian Federation; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Russian Foundation for Basic Research; National Research Foundation Singapore","keywords":"Quantum dot; Coherence (philosophical gambling strategy); Artificial neural network; Quantum; Qubit; Quantum computer; Quantum network; Coherence time","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":[0.0003097872,0.000197086,0.0002143393,0.0001186168,0.0002767301,0.0006260891,0.0007688895,0.0007349162,0.0013177],"category_scores_gemma":[0.0006017123,0.0001941817,0.0001966584,0.0001211976,0.000670817,0.000845936,0.0004881425,0.0006768529,0.0002576313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003825513,"about_ca_system_score_gemma":0.0003060817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007812455,"about_ca_topic_score_gemma":0.001154158,"domain_scores_codex":[0.9998379,0.00004070554,0.000007345633,0.00002843784,0.00006276917,0.00002277498],"domain_scores_gemma":[0.9998331,0.00007097183,0.00001386402,0.00003397331,0.00003173167,0.00001644758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000252023,0.0003980468,0.001358223,0.0002766904,0.0001037062,0.0003168667,0.0002402796,0.2393678,0.3926529,0.2997069,0.001151201,0.06417537],"study_design_scores_gemma":[0.00004312688,0.0001481673,0.0002043046,0.00001914043,0.00001519972,0.00004487755,0.00002307112,0.9235469,0.0538515,0.01733605,0.004748116,0.00001962508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3698834,0.000780791,0.6123537,0.001466698,0.0001968283,0.00007925925,0.00005040211,0.000678871,0.01451012],"genre_scores_gemma":[0.8375529,0.0002400873,0.1601646,0.00008164734,0.00001619217,0.00005120345,0.00001949449,0.00002358849,0.001850281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0013177,"threshold_uncertainty_score":0.004408181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01616643111044328,"score_gpt":0.2557370343419552,"score_spread":0.2395706032315119,"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."}}