{"id":"W2996387336","doi":"10.1103/prxquantum.2.030316","title":"Models of Quantum Complexity Growth","year":2021,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Army Research Office; Institut Périmètre de physique théorique; Innovation, Science and Economic Development Canada; U.S. Department of Energy; McGill University; Institute for Quantum Information and Matter, California Institute of Technology; California Institute of Technology; Office of Naval Research; Simons Foundation; Government of Canada; National Science Foundation","keywords":"Quantum complexity theory; Quantum algorithm; Quantum computer; Quantum; Unitary state; Quantum operation; Unitary transformation; Randomness; Quantum process; Mathematics; Statistical physics; Computer science; Open quantum system; Theoretical computer science; Quantum mechanics; Quantum dynamics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003419682,0.0002244425,0.0003955512,0.0001089353,0.0001673954,0.0001027313,0.001016872,0.00008012566,0.00002042017],"category_scores_gemma":[0.00009298452,0.0002067725,0.0001861145,0.0007099215,0.0001374667,0.000287928,0.0006634811,0.0002833987,0.00002510155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002108922,"about_ca_system_score_gemma":0.0001954704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009326103,"about_ca_topic_score_gemma":0.000005637666,"domain_scores_codex":[0.9978799,0.0001732677,0.0004379277,0.0005895709,0.0004648327,0.0004545299],"domain_scores_gemma":[0.9983122,0.0001768269,0.0001796819,0.0008485312,0.0003346605,0.0001481537],"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":[0.000004590112,0.0001600249,0.0001131747,0.00006709665,0.00002733062,0.00005884874,0.0006448098,0.003570399,0.000997989,0.9901364,0.0005855737,0.003633732],"study_design_scores_gemma":[0.0001881576,0.00005480995,0.0007237403,0.00003836431,0.000004750068,0.00005588204,0.00001876053,0.6350968,0.003234664,0.3601217,0.0002966616,0.0001657643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1386221,0.0006333899,0.8560243,0.002202331,0.0006991792,0.00009931406,0.00001359648,0.0002627762,0.001442951],"genre_scores_gemma":[0.9350776,0.00003519774,0.06440178,0.0003012274,0.0000978174,0.000004215645,0.000007609108,0.00001735515,0.00005715866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7964555,"threshold_uncertainty_score":0.843194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772300457296517,"score_gpt":0.2521455488719819,"score_spread":0.2144225442990167,"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."}}