{"id":"W3157082591","doi":"10.1021/acsphotonics.1c00059","title":"Analog quantum simulation of non-Condon effects in molecular spectroscopy","year":2020,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; University of Toronto; Canadian Institute for Advanced Research","funders":"National Research Foundation of Korea; POSCO TJ Park Foundation","keywords":"Quantum simulator; Dipole; Physics; Transition dipole moment; Quantum mechanics; Vibronic spectroscopy; Quantum; Quantum computer; Computational physics; Spectral line","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":[0.0006643599,0.0002545811,0.0003321879,0.0002669699,0.0005922426,0.0006250862,0.00117363,0.0006391531,0.002945203],"category_scores_gemma":[0.002078314,0.0001748203,0.0002666619,0.0003263567,0.001405204,0.001379287,0.0007728773,0.000911666,0.0001683805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009082984,"about_ca_system_score_gemma":0.0008802874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003168856,"about_ca_topic_score_gemma":0.002775804,"domain_scores_codex":[0.999685,0.0001349331,0.0000106912,0.00002453289,0.0001054843,0.00003929286],"domain_scores_gemma":[0.9991187,0.0005829594,0.00004921876,0.0001246378,0.00007482211,0.00004966377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001877847,0.0001733183,0.0006238642,0.00006689675,0.00002003388,0.0001263314,0.0001691253,0.7369832,0.006401903,0.2433593,0.0004970237,0.01139115],"study_design_scores_gemma":[0.00001194258,0.00001314825,0.00002371118,0.000001496923,0.000001259639,0.00000391611,0.000006181475,0.9880887,0.001206087,0.01040861,0.0002314506,0.000003607067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3528503,0.0001282807,0.6230555,0.0006299995,0.0001451891,0.0001412666,0.00007672971,0.0005256862,0.02244706],"genre_scores_gemma":[0.9220278,0.00006061949,0.07478262,0.0001183356,0.00001526083,0.00009183594,0.00002960131,0.00005485438,0.002819077],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003168856,"threshold_uncertainty_score":0.009852707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345964654256672,"score_gpt":0.1835290076997184,"score_spread":0.1600693611571517,"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."}}