{"id":"W4389168147","doi":"10.1109/qce57702.2023.10274","title":"Reduced Gate Count for Quantum State Preparation of 2D Data","year":2023,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Gate count; Computer science; Quantum circuit; Quantum; Quantum computer; Algorithm; Computer engineering; Image (mathematics); Quantum gate; Basis (linear algebra); Theoretical computer science; Electronic engineering; Computer hardware; Artificial intelligence; Mathematics; Quantum error correction; Engineering","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":[0.0003611938,0.0003111226,0.0003159946,0.0003221231,0.0004453182,0.0006342899,0.0007972855,0.0004821715,0.006041183],"category_scores_gemma":[0.0008744019,0.0002129397,0.0003261692,0.0003572902,0.0009572323,0.001494001,0.0007245233,0.0009330778,0.0007355374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006682039,"about_ca_system_score_gemma":0.0006003189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004307718,"about_ca_topic_score_gemma":0.0008258515,"domain_scores_codex":[0.9996648,0.00006278453,0.00001318133,0.00004387692,0.0001798489,0.00003556421],"domain_scores_gemma":[0.9995224,0.0002513189,0.00003802162,0.0001232908,0.00004365507,0.00002131628],"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":[0.0005180006,0.0002609695,0.0005921649,0.0003837523,0.00005371084,0.0003955239,0.0002468358,0.05709872,0.3083433,0.5004511,0.003686574,0.1279695],"study_design_scores_gemma":[0.0001413292,0.000507092,0.0004210677,0.00004239635,0.00003536258,0.0003202783,0.000060963,0.6006597,0.30446,0.07317265,0.02010337,0.00007579245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1661989,0.0005504724,0.8086195,0.0009752095,0.0002219304,0.0002276405,0.0001771842,0.001390013,0.02163912],"genre_scores_gemma":[0.7668311,0.0003018228,0.2275006,0.0002088235,0.00004981486,0.0001596426,0.0001459128,0.0001216097,0.00468066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006041183,"threshold_uncertainty_score":0.02020973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04466204834641457,"score_gpt":0.326949463335855,"score_spread":0.2822874149894404,"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."}}