{"id":"W3217117188","doi":"","title":"Boson Sampling with Gaussian input states: efficient scaling and certification.","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Boson; Sampling (signal processing); Quantum computer; Computer science; Scaling; Photon; Statistical physics; Quantum; Physics; Theoretical computer science; Quantum mechanics; Mathematics; Detector; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001976043,0.0003144236,0.000455097,0.000507407,0.000620474,0.001380975,0.001125525,0.0007186575,0.003829603],"category_scores_gemma":[0.007029308,0.0002972228,0.0003674391,0.0005212496,0.002438296,0.002413838,0.002369563,0.001228489,0.000633263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228822,"about_ca_system_score_gemma":0.000837595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004458177,"about_ca_topic_score_gemma":0.0005199671,"domain_scores_codex":[0.998615,0.0004238638,0.00004851965,0.0002100843,0.0005738477,0.0001286454],"domain_scores_gemma":[0.9968046,0.001657272,0.0002685616,0.0008367891,0.0002762985,0.0001565553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005770277,0.0003289983,0.001959698,0.0001794075,0.00004184285,0.0002031655,0.0003448455,0.03978034,0.0820285,0.7848664,0.001848133,0.08784173],"study_design_scores_gemma":[0.00009401082,0.000270199,0.000584704,0.00004769365,0.00002216932,0.0001873879,0.00007749479,0.6490699,0.09533921,0.2495334,0.00473125,0.00004261598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1825107,0.0006965749,0.7908043,0.0007634935,0.0001065067,0.0003248106,0.0001728555,0.001151507,0.02346933],"genre_scores_gemma":[0.887588,0.0001884454,0.1095455,0.00008859353,0.00002547358,0.0001416168,0.00009270755,0.00007953995,0.00225017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003829603,"threshold_uncertainty_score":0.0128113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06142864694348562,"score_gpt":0.1919505187430781,"score_spread":0.1305218717995924,"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."}}