{"id":"W4382395854","doi":"10.1103/physrevresearch.5.023200","title":"Quantum algorithms for generator coordinate methods","year":2023,"lang":"en","type":"article","venue":"Physical Review Research","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Pacific Northwest National Laboratory; Basic Energy Sciences; Defense Advanced Research Projects Agency; Battelle; U.S. Department of Energy; Office of Science; Advanced Research Projects Agency; National Science Foundation","keywords":"Quantum algorithm; Quantum; Formalism (music); Linear subspace; Algorithm; Discretization; Eigenvalues and eigenvectors; Eigenfunction; Benchmark (surveying); Qubit; Quantum computer; Algebra over a field; Mathematics; Computer science; Quantum mechanics; Pure mathematics; Physics; Mathematical analysis","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":[0.001819333,0.0006480551,0.0006570165,0.0006395839,0.0007680334,0.001169587,0.001230396,0.001160012,0.006318692],"category_scores_gemma":[0.005385546,0.0003186535,0.0005458182,0.0007240626,0.001837855,0.001786053,0.001635333,0.001880513,0.001055543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301807,"about_ca_system_score_gemma":0.001342654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001681937,"about_ca_topic_score_gemma":0.001477893,"domain_scores_codex":[0.9991647,0.0004000445,0.00003175651,0.00009921059,0.0002471673,0.00005711459],"domain_scores_gemma":[0.9987401,0.0008058216,0.00006024652,0.0001843475,0.0001706458,0.00003889333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003215517,0.00003614393,0.0002160758,0.0000784834,0.00001638827,0.00002609459,0.00007176393,0.08527981,0.001254431,0.8699585,0.001919676,0.04111034],"study_design_scores_gemma":[0.00003647352,0.00003532061,0.00006299277,0.00002184879,0.000004582526,0.00002573885,0.00002030334,0.6455245,0.001049471,0.346121,0.007085224,0.00001252213],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006462011,0.0004784295,0.983057,0.000480068,0.000100142,0.00008939794,0.00004036158,0.0002558463,0.009036816],"genre_scores_gemma":[0.1438097,0.0005458454,0.8486059,0.0002522122,0.0001240499,0.0004145454,0.0001154732,0.0002582809,0.005874052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006318692,"threshold_uncertainty_score":0.02113813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1661939809813743,"score_gpt":0.5112053266740573,"score_spread":0.345011345692683,"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."}}