{"id":"W2062374336","doi":"10.1145/1147954.1147962","title":"Computing with highly mixed states","year":2006,"lang":"en","type":"article","venue":"Journal of the ACM","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Initialization; Qubit; Ideal (ethics); Quantum computer; Computer science; State (computer science); Quantum circuit; Quantum gate; Quantum; Topology (electrical circuits); Quantum mechanics; Physics; Algorithm; Mathematics; Quantum error correction; Combinatorics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003409562,0.00009000101,0.0001418701,0.00005638297,0.0001576095,0.0001346203,0.002724856,0.00001914542,7.591107e-7],"category_scores_gemma":[0.00006354008,0.00004407239,0.00008877856,0.000266468,0.0000373795,0.0001081652,0.000652776,0.0002504716,0.000002208576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002149353,"about_ca_system_score_gemma":0.00006486521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002451417,"about_ca_topic_score_gemma":0.000004712501,"domain_scores_codex":[0.9990869,0.00006941583,0.0002456306,0.00009852635,0.0003210361,0.0001784615],"domain_scores_gemma":[0.9986507,0.0001616219,0.0003651755,0.0006742883,0.0001098103,0.0000384477],"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":[0.00004896257,0.0002804637,0.01181234,0.00003602558,0.0001469247,0.0002865374,0.001647768,0.8067271,0.003020325,0.008346925,0.05698063,0.110666],"study_design_scores_gemma":[0.00169245,0.0006799019,0.1339943,0.0004452936,0.0000404443,0.002880272,0.00006100351,0.7045606,0.01042183,0.1286893,0.01608832,0.0004462934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.850269,0.0001660657,0.1391779,0.009619415,0.0006207433,0.00003180942,3.754223e-7,0.00002717304,0.00008750463],"genre_scores_gemma":[0.8207186,0.000001580523,0.178665,0.0002139949,0.0003412379,5.663063e-8,8.019811e-8,0.00000560474,0.00005389523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122182,"threshold_uncertainty_score":0.5063506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005547299973036692,"score_gpt":0.2045473617007716,"score_spread":0.1990000617277349,"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."}}