{"id":"W2412871963","doi":"10.26421/qic17.5-6-8","title":"Perfect state transfer is poly-time","year":2017,"lang":"en","type":"preprint","venue":"Quantum Information and Computation","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"State (computer science); Transfer (computing); Time transfer; Computer science; Algorithm; Telecommunications; Parallel computing","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004794181,0.0003746862,0.0003775241,0.0003254535,0.0005453479,0.001948393,0.0007983728,0.0002054548,0.00001123256],"category_scores_gemma":[0.00002734656,0.0003534401,0.0001461089,0.0001106851,0.00007483064,0.001235553,0.0006246775,0.0005751472,0.000177787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004041516,"about_ca_system_score_gemma":0.0002019974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009337465,"about_ca_topic_score_gemma":0.000001173306,"domain_scores_codex":[0.9980547,0.00009184275,0.0006629862,0.0004091014,0.0004548001,0.0003265424],"domain_scores_gemma":[0.9985903,0.00007422545,0.0003829849,0.0005945032,0.0002090489,0.0001489353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001582661,0.00003029123,0.00002989283,0.000281695,0.00005907058,0.000004440951,0.01141777,0.02167693,0.00001584729,0.004355924,0.001464716,0.9606476],"study_design_scores_gemma":[0.0004036141,0.00009932531,0.001559593,0.0001430033,0.00001242014,0.00002980997,0.00001592353,0.9684961,0.0001018249,0.02509078,0.003624893,0.0004226425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1160499,0.0002924633,0.8793224,0.002001168,0.0008292269,0.0003594907,0.00005240269,0.0003973432,0.0006956342],"genre_scores_gemma":[0.9794365,0.000145353,0.0185926,0.001319023,0.0001365183,0.00002317634,0.0002136598,0.00002054676,0.0001126884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9602249,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01168517364415409,"score_gpt":0.2495584726390442,"score_spread":0.2378732989948901,"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."}}