{"id":"W4404133623","doi":"10.1145/3649329.3655908","title":"TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer","year":2024,"lang":"en","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Titan (rocket family); Computer science; Scale (ratio); Parallel computing; Computational science; Astrobiology; Physics","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":[0.0001767588,0.0001559193,0.0001452239,0.00008534289,0.000141593,0.0005125331,0.000331567,0.00005683378,0.00001788567],"category_scores_gemma":[0.000002923533,0.0001172537,0.0000647377,0.0003846688,0.00003384453,0.0001783381,0.0003322115,0.0001962706,0.00005219687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001369196,"about_ca_system_score_gemma":0.00002935581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008539957,"about_ca_topic_score_gemma":0.000008328015,"domain_scores_codex":[0.9988227,0.00003503661,0.0001578887,0.0004891086,0.0001767405,0.000318549],"domain_scores_gemma":[0.9994764,0.00008949138,0.00001726291,0.0002764895,0.00002369237,0.0001166816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005523991,0.0001626831,0.0003127204,0.0001591595,0.00007546832,0.0002620895,0.003646961,0.004678914,0.0004424926,0.1034719,0.02390711,0.862875],"study_design_scores_gemma":[0.0001431218,0.0000834804,0.0009889662,0.00005294773,0.000003951603,0.0001044329,0.00001477327,0.9702852,0.0001138198,0.002075656,0.02596454,0.0001691522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02582259,0.0003731551,0.969104,0.002705864,0.0006693573,0.00008629233,0.00002124355,0.0007435599,0.0004739661],"genre_scores_gemma":[0.8108847,0.00001798597,0.1875676,0.0005468917,0.0004967232,0.000005120637,0.00002108282,0.00001869215,0.0004412904],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9656063,"threshold_uncertainty_score":0.4942369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00559518780939153,"score_gpt":0.2192033377631295,"score_spread":0.213608149953738,"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."}}