{"id":"W4367049307","doi":"10.1103/prxquantum.4.020315","title":"Deterministic Constant-Depth Preparation of the AKLT State on a Quantum Processor Using Fusion Measurements","year":2023,"lang":"en","type":"article","venue":"PRX Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office of Science; U.S. Department of Energy","keywords":"Constant (computer programming); Quantum; Computation; Symmetry (geometry); Quantum computer; Homogeneous space; State (computer science); Physics; Computer science; Topology (electrical circuits); Quantum mechanics; Algorithm; Mathematics; Geometry; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006665213,0.0003259494,0.0004729124,0.0002856745,0.0006834757,0.001277502,0.0006620088,0.0008522689,0.004296466],"category_scores_gemma":[0.001804502,0.0002108012,0.0004089107,0.0003630845,0.001644095,0.003020287,0.001838631,0.001220564,0.0007555324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006871481,"about_ca_system_score_gemma":0.0009775567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000321466,"about_ca_topic_score_gemma":0.000465922,"domain_scores_codex":[0.9995415,0.00009828547,0.00002390376,0.00009301683,0.0001162378,0.000126914],"domain_scores_gemma":[0.9992354,0.0003550184,0.00006595816,0.0002357885,0.00005773442,0.00005000974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009779019,0.0001379473,0.001021546,0.0001605309,0.00003546909,0.0002911461,0.0003039785,0.04085968,0.08025379,0.8447036,0.001878052,0.0293764],"study_design_scores_gemma":[0.000137875,0.0003084317,0.0005221848,0.00005151845,0.00003509938,0.0001952112,0.000133969,0.4390433,0.1300018,0.4250413,0.004447847,0.00008139972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3729876,0.0001888879,0.5974093,0.0009092296,0.0001383733,0.0001477953,0.0003527411,0.001486698,0.02637946],"genre_scores_gemma":[0.9645368,0.00004397076,0.03323098,0.00007240101,0.00001673379,0.00004682722,0.00006353002,0.0000532062,0.001935552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004296466,"threshold_uncertainty_score":0.01437306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06089474153274752,"score_gpt":0.3154113983657411,"score_spread":0.2545166568329935,"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."}}