{"id":"W4313442205","doi":"10.22331/q-2023-01-03-889","title":"Fluid fermionic fragments for optimizing quantum measurements of electronic Hamiltonians in the variational quantum eigensolver","year":2023,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Compute Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Hamiltonian (control theory); Quantum; Wave function; Electron; Quantum mechanics; Physics; Mathematics; Mathematical optimization","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002438461,0.0003328514,0.0004065118,0.0004098944,0.0003828968,0.0001452134,0.001787556,0.0001298007,0.000008566714],"category_scores_gemma":[0.0001664925,0.0002615763,0.00024806,0.00152335,0.00006942463,0.0002442086,0.0002468341,0.0003858167,0.00004319208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241857,"about_ca_system_score_gemma":0.0003501483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008989049,"about_ca_topic_score_gemma":0.00001921733,"domain_scores_codex":[0.9962564,0.0002864737,0.0007086588,0.0007004088,0.000959916,0.001088107],"domain_scores_gemma":[0.9980831,0.000562435,0.000268751,0.0008299929,0.0001752218,0.00008057399],"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":[0.0001411516,0.0008656913,0.001698485,0.0002560871,0.0003376835,0.00004960538,0.01384948,0.1953043,0.01059619,0.7653793,0.004203113,0.007318964],"study_design_scores_gemma":[0.0009087375,0.0003456524,0.005202848,0.00008358036,0.00001667115,0.00001627222,0.0001528031,0.9367204,0.0005180808,0.05507835,0.0006519829,0.0003045679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6209585,0.0004381311,0.3726956,0.003083454,0.001316485,0.001059984,0.00002298558,0.0003333708,0.00009144159],"genre_scores_gemma":[0.9926761,0.00003601634,0.006577649,0.0003720031,0.0001487978,0.0000783924,0.00003299536,0.00003684698,0.0000412137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7414162,"threshold_uncertainty_score":0.9999837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580009769914886,"score_gpt":0.2765562701306604,"score_spread":0.2407561724315115,"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."}}