{"id":"W4414494505","doi":"10.1126/science.adv2560","title":"Quantum learning advantage on a scalable photonic platform","year":2025,"lang":"en","type":"article","venue":"Science","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo","funders":"","keywords":"Photonics; Quantum; Scalability; Quantum computer; Quantum technology; Quantum metrology; Protocol (science); Quantum sensor","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":[0.0009136777,0.0003671819,0.0003998101,0.0003748182,0.000829379,0.001537034,0.001185107,0.0008871978,0.006060661],"category_scores_gemma":[0.002464316,0.0002813482,0.0002661613,0.0002803203,0.001844354,0.002676863,0.002364734,0.001965273,0.0006818456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00107207,"about_ca_system_score_gemma":0.001272565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006696676,"about_ca_topic_score_gemma":0.0008553744,"domain_scores_codex":[0.9991714,0.0001283462,0.00002560974,0.0001210825,0.0004287056,0.0001249585],"domain_scores_gemma":[0.9987518,0.0005753427,0.0001165435,0.0003049728,0.0001449123,0.0001064354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003423418,0.000357703,0.00062434,0.0001796038,0.00004885251,0.0003826977,0.0001583999,0.0721511,0.1354736,0.7432735,0.005513387,0.04149437],"study_design_scores_gemma":[0.0001358628,0.0003131384,0.0003502064,0.00003372392,0.00002850567,0.0001237961,0.00006087413,0.7472025,0.06779177,0.1696107,0.01428826,0.00006067718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4575462,0.0009433759,0.4481956,0.004152859,0.000653285,0.0004300731,0.0003387103,0.002836488,0.08490346],"genre_scores_gemma":[0.9344534,0.0001742382,0.0606834,0.000207527,0.00006525744,0.0001307408,0.00007280167,0.00007074777,0.004141742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006060661,"threshold_uncertainty_score":0.02027494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009164125236145576,"score_gpt":0.2628280677943955,"score_spread":0.2536639425582499,"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."}}