{"id":"W4386069942","doi":"10.1103/physrevapplied.20.l021004","title":"Axial Correlation Revivals and Number Factorization with Structured Random Waves","year":2023,"lang":"en","type":"article","venue":"Physical Review Applied","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Factoring; Factorization; Superposition principle; Protocol (science); Computer science; Physics; Statistical physics; Theoretical computer science; Quantum; Algorithm; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001590966,0.0003901034,0.0005396931,0.0007080768,0.001032632,0.001747908,0.0008880206,0.001340767,0.006791238],"category_scores_gemma":[0.007512622,0.0003462571,0.0005544091,0.0004227813,0.003739749,0.003757523,0.002744367,0.002205155,0.0007896056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000935638,"about_ca_system_score_gemma":0.00076861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005220974,"about_ca_topic_score_gemma":0.0005416604,"domain_scores_codex":[0.9992158,0.0002686416,0.0000399688,0.0001058367,0.0002273281,0.0001424106],"domain_scores_gemma":[0.99748,0.001126243,0.0003313534,0.0006095294,0.0002679142,0.000184984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004520471,0.00001999324,0.0001221346,0.00002757206,0.000007305368,0.00008139634,0.00009350105,0.00322981,0.001936358,0.9885961,0.001268706,0.004571908],"study_design_scores_gemma":[0.00003960387,0.00004677919,0.0001812619,0.00002699696,0.000005309942,0.000130406,0.00007008839,0.06570588,0.002386034,0.9269262,0.004451717,0.00002983849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2639443,0.002342343,0.5877799,0.00943069,0.001310103,0.0003204467,0.0003209755,0.0007623049,0.1337888],"genre_scores_gemma":[0.9435133,0.0006707658,0.03921003,0.0008498586,0.000260227,0.0001564759,0.00009204866,0.0001211178,0.01512601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006791238,"threshold_uncertainty_score":0.02271897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307318704366987,"score_gpt":0.2697560576155763,"score_spread":0.2566828705719064,"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."}}