{"id":"W4295689250","doi":"10.1145/3549036.3562061","title":"Using Quantum computers to speed up dynamic testing of software","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Speedup; Quantum computer; Software testing; Software; Parallel computing; Quantum; Operating system; Physics; 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":[0.001091835,0.0007111104,0.0006849999,0.001125806,0.0006065374,0.001267243,0.001303569,0.0009298521,0.008081818],"category_scores_gemma":[0.007512643,0.0005746873,0.0005084167,0.00103552,0.001711357,0.003460946,0.001646306,0.001792492,0.001401204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009343868,"about_ca_system_score_gemma":0.0007705644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165578,"about_ca_topic_score_gemma":0.001692894,"domain_scores_codex":[0.9988791,0.000334214,0.00004528516,0.0002073916,0.0003854297,0.000148511],"domain_scores_gemma":[0.9963896,0.002151472,0.0001940693,0.0008625219,0.0002956704,0.0001066782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007914017,0.0003967568,0.002882417,0.0004379777,0.0001500214,0.0004255378,0.0003270902,0.1688497,0.1338882,0.2965263,0.01396425,0.3813604],"study_design_scores_gemma":[0.0001262846,0.0001863885,0.0009644145,0.00007534302,0.00004965884,0.0002909683,0.00005011948,0.7387006,0.05369836,0.1867377,0.01905979,0.00006040446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1242608,0.001765231,0.8451313,0.001680273,0.0004449686,0.000145734,0.0001639256,0.007605427,0.01880224],"genre_scores_gemma":[0.7575473,0.0008526462,0.2364886,0.000342959,0.0001410603,0.0001759802,0.0001810418,0.0004240667,0.003846384],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008081818,"threshold_uncertainty_score":0.02703637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04737854739981302,"score_gpt":0.299119823616864,"score_spread":0.251741276217051,"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."}}