{"id":"W2125571786","doi":"10.1126/sciadv.1400255","title":"Experimental scattershot boson sampling","year":2015,"lang":"en","type":"article","venue":"Science Advances","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":249,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Institut Périmètre de physique théorique; Horizon 2020 Framework Programme; Instituto Nacional de Ciência e Tecnologia de Informação Quântica; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Boson; Photon; Photonics; Sampling (signal processing); Quantum; Computer science; Physics; Quantum computer; Parametric statistics; Quantum optics; Interferometry; Computation; Interference (communication); Statistical physics; Algorithm; Quantum mechanics; Mathematics; Telecommunications; Statistics; Detector","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":[0.000885386,0.0003099302,0.0003315984,0.0002621851,0.0007065466,0.0004830431,0.0008977166,0.0006668803,0.006427682],"category_scores_gemma":[0.002364407,0.0003084927,0.0001908235,0.0005740479,0.001046207,0.0007435707,0.001006186,0.0009994732,0.0005392185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003913674,"about_ca_system_score_gemma":0.000401962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004499453,"about_ca_topic_score_gemma":0.0004199703,"domain_scores_codex":[0.9993346,0.0001065694,0.00003316782,0.0001517941,0.000269723,0.0001041522],"domain_scores_gemma":[0.9983243,0.000710348,0.0001527946,0.0005330998,0.000191103,0.0000882492],"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":[0.001644352,0.001033984,0.00740153,0.0003785498,0.0001151716,0.0005157127,0.0006050553,0.01872392,0.8144958,0.1291472,0.002821772,0.02311702],"study_design_scores_gemma":[0.000155543,0.001081935,0.00334604,0.00003076868,0.00003848305,0.0003060391,0.0001539613,0.1129534,0.8584074,0.01535654,0.008108734,0.00006120274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8978618,0.0002118956,0.08755682,0.0002468699,0.00008376417,0.0002173805,0.0006225237,0.0005103326,0.01268855],"genre_scores_gemma":[0.9817382,0.00009986256,0.01606754,0.00005770745,0.00001631789,0.0001366279,0.0003037936,0.00008091714,0.001499223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006427682,"threshold_uncertainty_score":0.02150273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04773533747712027,"score_gpt":0.3284754437009008,"score_spread":0.2807401062237805,"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."}}