{"id":"W4221148370","doi":"10.1103/prxquantum.3.020336","title":"Experimental Demonstration of Gaussian Boson Sampling with Displacement","year":2022,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; H2020 Marie Skłodowska-Curie Actions; Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme; Samsung; Korea Institute of Science and Technology","keywords":"Displacement (psychology); Gaussian; Boson; Sampling (signal processing); Statistical physics; Physics; Geodesy; Geology; Particle physics; Quantum mechanics; Optics; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001924325,0.00008358129,0.00009181537,0.0001180711,0.0002266126,0.00004959508,0.000323104,0.00001188292,0.00009797138],"category_scores_gemma":[0.000001777237,0.00007317797,0.00004244686,0.0003515886,0.00003162918,0.0003799085,0.0001270567,0.00008488856,0.000005731662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000332648,"about_ca_system_score_gemma":0.00005148095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001462564,"about_ca_topic_score_gemma":0.000001192816,"domain_scores_codex":[0.9990364,0.00004092815,0.0002221701,0.000146334,0.0004038103,0.000150327],"domain_scores_gemma":[0.9995201,0.00001734987,0.0001442122,0.000247015,0.00002305905,0.00004832001],"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":[0.00004776669,0.0002091748,0.002403765,0.00001721419,0.0000188841,0.000001929194,0.003091428,0.001017213,0.00796761,0.9833529,0.0002582345,0.001613876],"study_design_scores_gemma":[0.003595376,0.004639046,0.01379912,0.00008114344,0.00003038623,0.0001532032,0.01625356,0.6508572,0.2762614,0.008016653,0.02512761,0.00118537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4705614,0.0001059516,0.5260566,0.0004065686,0.0001901276,0.000184895,0.000004700279,0.00008542374,0.002404353],"genre_scores_gemma":[0.9928278,0.000001700805,0.006960299,0.0001219731,0.000008724171,0.00005571168,0.000009937782,0.000004351769,0.000009487865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9753363,"threshold_uncertainty_score":0.2984111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030511212551449,"score_gpt":0.2596227855093859,"score_spread":0.2393176733838714,"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."}}