{"id":"W3099249897","doi":"10.1039/d0sc06627c","title":"A feasible approach for automatically differentiable unitary coupled-cluster on quantum computers","year":2021,"lang":"en","type":"article","venue":"Chemical Science","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Toronto Public Health","funders":"Office of Naval Research; Government of Ontario; University of Toronto; Google; U.S. Department of Energy","keywords":"Parameterized complexity; Differentiable function; Unitary state; Quantum; Computation; Algebra over a field; Decomposition","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004727313,0.0002202537,0.0002655024,0.00009817465,0.0003949598,0.0004527877,0.001778372,0.0000716346,0.000006319467],"category_scores_gemma":[0.0002294244,0.0001762134,0.0001195317,0.001217251,0.0003559455,0.0002464097,0.0008200015,0.0002508064,0.00001278219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007837114,"about_ca_system_score_gemma":0.0002873015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005744962,"about_ca_topic_score_gemma":2.268276e-7,"domain_scores_codex":[0.9973714,0.00003524357,0.000264868,0.0009610722,0.0006441576,0.0007233046],"domain_scores_gemma":[0.9982656,0.0003961593,0.00007190847,0.000736022,0.0002125074,0.000317807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009162042,0.003648882,0.0002353871,0.0006951513,0.0001055736,0.000104986,0.002378449,0.08207487,0.4172379,0.399462,0.01944794,0.07451726],"study_design_scores_gemma":[0.000411102,0.00007483896,0.0001798048,0.00005018844,0.00000472154,0.00004716776,0.00001188699,0.9694846,0.02306203,0.006076177,0.0003443757,0.0002531309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2283168,0.00003291001,0.7684602,0.001942383,0.0002966238,0.000186908,0.000002817574,0.0002342327,0.0005271381],"genre_scores_gemma":[0.5872722,0.000001533759,0.4112995,0.001196208,0.0001058522,0.00001865955,0.000009403417,0.00001043966,0.0000861556],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8874097,"threshold_uncertainty_score":0.7185773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438397427711646,"score_gpt":0.2433318335379752,"score_spread":0.2289478592608587,"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."}}