{"id":"W3134574964","doi":"10.1103/physreva.103.032404","title":"Lanczos recursion on a quantum computer for the Green's function and ground state","year":2021,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Canada First Research Excellence Fund; U.S. Department of State","keywords":"Lanczos resampling; Recursion (computer science); Wave function; Ground state; Quantum algorithm; Function (biology); Quantum; Quantum computer; Physics; Mathematics; Quantum mechanics; Applied mathematics; Statistical physics; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001193308,0.0009651621,0.0008924536,0.001073254,0.001164619,0.001650529,0.001207657,0.0006844172,0.01129062],"category_scores_gemma":[0.003888744,0.0004403693,0.0008019395,0.001805256,0.001327742,0.002255954,0.0006915494,0.002137583,0.00391086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001869096,"about_ca_system_score_gemma":0.002959617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006016574,"about_ca_topic_score_gemma":0.01019242,"domain_scores_codex":[0.9993629,0.0001769744,0.00004956186,0.00006644467,0.0002919662,0.00005212219],"domain_scores_gemma":[0.9991173,0.0004833205,0.00004623531,0.0001318772,0.0001874249,0.00003382515],"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":[0.0001592617,0.00008589838,0.0003501188,0.0002920376,0.00003447267,0.000134901,0.0003062689,0.04745816,0.01482725,0.736368,0.006982141,0.1930014],"study_design_scores_gemma":[0.0001737843,0.0001043902,0.0001670678,0.00008574198,0.00002432493,0.0001238665,0.00005661176,0.6485003,0.01102552,0.307274,0.03241101,0.00005335272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005894961,0.0002579924,0.9827589,0.0001837485,0.00006413127,0.0001273583,0.00009644722,0.001456883,0.009159628],"genre_scores_gemma":[0.03828286,0.0002999787,0.9551793,0.00006949427,0.00003537552,0.0002391919,0.0001323098,0.0002649298,0.0054966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01129062,"threshold_uncertainty_score":0.03777087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640200528995681,"score_gpt":0.319144764303804,"score_spread":0.3027427590138472,"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."}}