{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008641672,0.0002470943,0.0002324055,0.0002074002,0.0004880869,0.0004165366,0.0008003787,0.0006081901,0.002784168],"category_scores_gemma":[0.001583454,0.0002050902,0.0001496027,0.0003817995,0.00130384,0.0006223515,0.0011939,0.0007938875,0.0003533938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004624148,"about_ca_system_score_gemma":0.000465206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007275704,"about_ca_topic_score_gemma":0.0006265022,"domain_scores_codex":[0.9993607,0.0001536672,0.00002788178,0.0001132197,0.000237051,0.0001074199],"domain_scores_gemma":[0.9990102,0.0004149613,0.0001313722,0.0002280911,0.0001160301,0.00009937382],"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":[0.000988013,0.0004085973,0.008129196,0.000219113,0.00006671558,0.0004884763,0.0008107505,0.0150563,0.8002956,0.127923,0.003041835,0.0425724],"study_design_scores_gemma":[0.0001218614,0.0005146063,0.002379374,0.00002285025,0.00001331495,0.0002576242,0.0001090067,0.1209343,0.8618985,0.00777112,0.005918128,0.00005927074],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9155528,0.0001331092,0.07332753,0.000636128,0.00009141707,0.00007924718,0.0003306885,0.0006903237,0.00915864],"genre_scores_gemma":[0.9710624,0.00003205493,0.02773965,0.00003662967,0.000009696865,0.00003119571,0.00008305792,0.00003656824,0.0009687236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002784168,"threshold_uncertainty_score":0.009313941,"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."}}