{"id":"W1988974364","doi":"10.1103/physreva.77.032322","title":"Quantum-process tomography: Resource analysis of different strategies","year":2008,"lang":"en","type":"article","venue":"Physical Review A","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":430,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Quantum; Quantum process; Computer science; Quantum algorithm; Characterization (materials science); Quantum computer; Quantum information; Quantum dynamics; Theoretical computer science; Physics; Quantum mechanics; Optics","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":[0.003892882,0.001164447,0.001406743,0.001392813,0.0007803489,0.002869974,0.002596345,0.001720378,0.005302209],"category_scores_gemma":[0.01405936,0.0004539209,0.001128852,0.001510731,0.00322684,0.00771108,0.002309359,0.001818533,0.000482238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002582793,"about_ca_system_score_gemma":0.001548279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009000349,"about_ca_topic_score_gemma":0.0005892366,"domain_scores_codex":[0.9974352,0.001105858,0.0001152281,0.0003172539,0.0007756553,0.0002508991],"domain_scores_gemma":[0.9921814,0.005821452,0.000363505,0.001119242,0.0003749234,0.0001394936],"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":[0.00006462887,0.0000337213,0.0002505632,0.00008652786,0.00002233177,0.00004645685,0.00005305923,0.05308682,0.001245648,0.9324416,0.0003719151,0.01229679],"study_design_scores_gemma":[0.00001675667,0.00003915801,0.0002158092,0.00003541013,0.00002246327,0.00008677151,0.00004217198,0.5359294,0.003097896,0.4587627,0.001723997,0.00002742747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04558867,0.001856087,0.9195449,0.001149022,0.00005344703,0.0002348464,0.0002160981,0.0001686832,0.03118828],"genre_scores_gemma":[0.8278803,0.002010608,0.1629002,0.000184,0.00009620233,0.0004699717,0.0001661131,0.000144384,0.006148253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005302209,"threshold_uncertainty_score":0.0205878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142889664355464,"score_gpt":0.3007014517379404,"score_spread":0.2792725550943858,"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."}}