{"id":"W4402169532","doi":"10.1103/prxquantum.5.030343","title":"Simulating Quantum Computation: How Many “Bits” for “It”?","year":2024,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; HORIZON EUROPE Framework Programme; Air Force Office of Scientific Research; Alexander von Humboldt-Stiftung","keywords":"Computation; Quantum computer; Computer science; Quantum; Theoretical computer science; Algorithm; Physics; Quantum mechanics","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":[0.00492542,0.0008080878,0.00163916,0.000883934,0.001528572,0.003320632,0.002339107,0.002734615,0.006442753],"category_scores_gemma":[0.05106115,0.0008639919,0.0008218419,0.001214123,0.00909287,0.02646492,0.002919805,0.005651949,0.001001042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733162,"about_ca_system_score_gemma":0.001776954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581899,"about_ca_topic_score_gemma":0.001505406,"domain_scores_codex":[0.9960516,0.001886881,0.0002180073,0.0004544518,0.001108309,0.000280726],"domain_scores_gemma":[0.9667022,0.02109512,0.00132331,0.008573871,0.001525307,0.0007801329],"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":[0.0007854393,0.0002938659,0.005465203,0.0005045372,0.0001849446,0.0001597503,0.001304175,0.1049174,0.00961352,0.7669467,0.00503779,0.1047867],"study_design_scores_gemma":[0.00005944855,0.00008006187,0.0004898934,0.0001290126,0.00005738842,0.0001021011,0.0003369898,0.4122966,0.006323159,0.5732935,0.006779003,0.00005286783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2243515,0.002872678,0.7370184,0.02233488,0.00064616,0.0001385107,0.0002833485,0.001293138,0.01106131],"genre_scores_gemma":[0.7817487,0.001417848,0.2097596,0.001905335,0.0002971526,0.0002923755,0.0002440223,0.0008401499,0.003494784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006442753,"threshold_uncertainty_score":0.02604842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554516597027576,"score_gpt":0.2893681807248769,"score_spread":0.2638230147546011,"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."}}