{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005312951,0.0004555761,0.000662099,0.0004929839,0.0002754016,0.0002281639,0.00303569,0.0001363149,0.00003181009],"category_scores_gemma":[0.0001968613,0.0004513627,0.0002402277,0.0009552603,0.00005064673,0.00007366944,0.01105355,0.000968418,0.000006238899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734745,"about_ca_system_score_gemma":0.0004097007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005426599,"about_ca_topic_score_gemma":0.00001037291,"domain_scores_codex":[0.9967569,0.0001712044,0.0006689727,0.001171066,0.0006778603,0.0005540529],"domain_scores_gemma":[0.9972703,0.0004794562,0.0004400934,0.001423478,0.0001885256,0.000198081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003372736,0.00004519234,0.0002356135,0.0001612697,0.0000418962,0.00003317964,0.0008676919,0.9518895,0.0003638726,0.0008371927,0.0001817348,0.04533953],"study_design_scores_gemma":[0.0001427526,0.0001191592,0.00059623,0.000297092,0.0000131646,0.00004867245,0.00003392281,0.9931014,0.0001098253,0.004746231,0.0002766636,0.000514926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2232321,0.00006677295,0.7719371,0.0002534448,0.003514082,0.0003410248,0.00003054107,0.000541752,0.00008321989],"genre_scores_gemma":[0.1335315,0.000001080835,0.8659175,0.0003134684,0.00009431301,0.000003923704,0.00001340233,0.0000397541,0.00008509059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09398039,"threshold_uncertainty_score":0.9997938,"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."}}