{"id":"W4401331420","doi":"10.1103/prxquantum.5.037001","title":"Quantum Computing for High-Energy Physics: State of the Art and Challenges","year":2024,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; York University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; HORIZON EUROPE Framework Programme; QuantERA; Centre for Quantum Technologies; Helmholtz-Gemeinschaft; Eusko Jaurlaritza; CERN; Deutsche Forschungsgemeinschaft; Agencia Estatal de Investigación; Fundação para a Ciência e a Tecnologia; University of Tokyo; European Regional Development Fund; European Commission","keywords":"Quantum computer; Computer science; Qubit; Large Hadron Collider; Computational science; Computer engineering; Physics; Quantum; Theoretical computer science; Quantum mechanics","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":[0.003940218,0.0008573303,0.001098987,0.00163206,0.002157729,0.007669195,0.002070785,0.003729335,0.0134078],"category_scores_gemma":[0.006489548,0.0005925956,0.0005534817,0.002960248,0.006624584,0.0165184,0.003422709,0.007586566,0.003799566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003058856,"about_ca_system_score_gemma":0.002894965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001566662,"about_ca_topic_score_gemma":0.001192942,"domain_scores_codex":[0.9979844,0.0006640148,0.00005784753,0.0002369246,0.0008212166,0.0002355272],"domain_scores_gemma":[0.9945753,0.003441013,0.0001422069,0.0008234257,0.0006563131,0.0003617801],"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":[0.0000454389,0.00005814129,0.0001844109,0.0007890353,0.00001722679,0.00003361156,0.0001161578,0.003642209,0.001008053,0.8524851,0.03493522,0.1066853],"study_design_scores_gemma":[0.00001202865,0.00003714301,0.0001931669,0.0004422686,0.000008445627,0.00008322341,0.0001226836,0.01551961,0.0008856008,0.7925363,0.1901261,0.0000335176],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01776623,0.4923353,0.1829966,0.1423474,0.006793649,0.0001181339,0.0006862386,0.001496493,0.15546],"genre_scores_gemma":[0.3236052,0.5184192,0.1071909,0.01103882,0.01261909,0.0003715845,0.0009140532,0.001230371,0.02461081],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0134078,"threshold_uncertainty_score":0.04485357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996030046430071,"score_gpt":0.2368013674277026,"score_spread":0.2168410669634019,"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."}}