{"id":"W2771028964","doi":"10.1103/physrevlett.120.150502","title":"Test One to Test Many: A Unified Approach to Quantum Benchmarks","year":2018,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"National Natural Science Foundation of China; Foundational Questions Institute; Canadian Institute for Advanced Research","keywords":"Benchmark (surveying); Teleportation; Homodyne detection; Computer science; Physics; Quantum state; Beam splitter; Fidelity; Coherent states; Quantum teleportation; Observable; Quantum; Quantum mechanics; Quantum information science; Statistical physics; Quantum information; Algorithm; Quantum channel; Quantum entanglement; Telecommunications","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":[0.02292578,0.002287945,0.004513937,0.005248948,0.00379325,0.009243286,0.008582482,0.004397509,0.007544728],"category_scores_gemma":[0.07485886,0.001665996,0.00310401,0.00374575,0.01754611,0.01952048,0.01159088,0.01165324,0.001356353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004421545,"about_ca_system_score_gemma":0.00589858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002317313,"about_ca_topic_score_gemma":0.002007153,"domain_scores_codex":[0.9740242,0.0134743,0.001223101,0.003167239,0.006681409,0.001429735],"domain_scores_gemma":[0.9521156,0.0271336,0.002606404,0.01183376,0.004374121,0.001936498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002892859,0.00003446348,0.0001989236,0.00005503973,0.0000150565,0.00006039757,0.00006703706,0.004682823,0.0002876533,0.9886926,0.000762696,0.005114522],"study_design_scores_gemma":[0.00002482339,0.00005778578,0.00007933914,0.0000680529,0.00001858597,0.00006313607,0.00004176041,0.0589888,0.0007284337,0.9357446,0.004141556,0.00004311016],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01032898,0.001640832,0.9436262,0.003297043,0.0005440508,0.0003391966,0.0003122922,0.0006575454,0.03925398],"genre_scores_gemma":[0.3868532,0.001888335,0.5930445,0.002990739,0.001077058,0.002352056,0.0006472978,0.001085411,0.01006147],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02292578,"threshold_uncertainty_score":0.1212445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02263518541352683,"score_gpt":0.2728442704104997,"score_spread":0.2502090849969729,"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."}}