{"id":"W4402713726","doi":"10.48550/arxiv.2408.05351","title":"Distributed Quantum Computing for Chemical Applications","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Computer science; Quantum computer; Quantum chemical; Distributed computing; Quantum; Physics; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002194027,0.0003457807,0.0003468971,0.0001745682,0.0002235141,0.000254692,0.001959104,0.0002726279,0.000002120208],"category_scores_gemma":[0.00002397331,0.0003768276,0.0003539214,0.0006744103,0.00009496215,0.0000535649,0.003860361,0.0008484017,0.00004921652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419945,"about_ca_system_score_gemma":0.0001963623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000213081,"about_ca_topic_score_gemma":0.000001419756,"domain_scores_codex":[0.9977662,0.00004728037,0.0002469743,0.00140556,0.00008402298,0.0004499802],"domain_scores_gemma":[0.9982145,0.0002593662,0.0001761578,0.001028508,0.0001472443,0.0001741799],"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":[0.000008049997,0.00008681943,0.00003796331,0.0003331318,0.0001102355,0.00006063079,0.0001680685,0.4436998,0.00009352792,0.5489554,0.0009906703,0.005455637],"study_design_scores_gemma":[0.0001631568,0.00001875609,0.00002294679,0.00009988744,0.00004575273,0.000007534544,0.00001238096,0.7737036,0.0001025062,0.2235691,0.001924212,0.0003301176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1018602,0.0001331462,0.8954318,0.0003731857,0.0005942518,0.0005517964,0.0001472796,0.0007809432,0.00012744],"genre_scores_gemma":[0.9823121,0.00001001837,0.01699006,0.00006539687,0.0003576594,0.000004842286,0.0001274312,0.00002807563,0.0001043681],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.880452,"threshold_uncertainty_score":0.9998684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03809776188953272,"score_gpt":0.203143276373403,"score_spread":0.1650455144838703,"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."}}