{"id":"W2999059458","doi":"10.1039/c9cp05625d","title":"On the design of molecular excitonic circuits for quantum computing: the universal quantum gates","year":2020,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Research Corporation for Scientific Advancement; U.S. Department of Energy; Division of Chemistry; Research Corporation for Science Advancement; National Science Foundation","keywords":"Electronic circuit; Quantum computer; Quantum; Molecule; Quantum gate; Transformation (genetics); Nanotechnology; Physics; Chemical physics; Quantum mechanics; Materials science; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001160769,0.0002476285,0.0002754893,0.000006507555,0.0001288811,0.00007764432,0.001531838,0.00006069841,0.000004520191],"category_scores_gemma":[0.0001418838,0.0001607454,0.0003279652,0.0005436813,0.0002729786,0.0001472969,0.0002055039,0.0003383555,0.00001527203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002351303,"about_ca_system_score_gemma":0.00007385525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.678711e-7,"about_ca_topic_score_gemma":1.539268e-9,"domain_scores_codex":[0.9986017,0.00004405621,0.0002659853,0.0003381004,0.0004220802,0.0003280176],"domain_scores_gemma":[0.9979178,0.001052916,0.0002141466,0.0005348153,0.0001435032,0.0001368561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001847536,0.0001271737,5.084663e-7,0.0000682543,0.00003932671,5.877617e-7,0.0006464376,0.001808958,0.5767514,0.4188806,0.001177482,0.0004807916],"study_design_scores_gemma":[0.000192471,0.00004135056,8.510388e-7,0.00001237559,0.00001154033,4.390395e-7,0.00005051081,0.4313021,0.5000529,0.06812061,0.00009549027,0.000119347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2140751,0.00001708191,0.7809312,0.003916245,0.00003398513,0.0003167206,0.00001190116,0.0001279891,0.0005697275],"genre_scores_gemma":[0.9981989,0.000001797269,0.0003235402,0.00123866,0.0001915155,0.00001677445,0.00001121086,0.00001608756,0.000001481782],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7841238,"threshold_uncertainty_score":0.6555009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737607634360308,"score_gpt":0.2333836540798344,"score_spread":0.2060075777362314,"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."}}