{"id":"W3186049801","doi":"10.22331/q-2022-03-30-677","title":"General parameter-shift rules for quantum gradients","year":2022,"lang":"en","type":"preprint","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"","keywords":"Quantum algorithm; Quantum; Quantum Fourier transform; Quantum circuit; Computer science; Quantum gate; Algorithm; Quantum phase estimation algorithm; Quantum computer; Function (biology); Mathematics; Mathematical optimization; Quantum error correction; Applied mathematics; Quantum mechanics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008338843,0.0007647038,0.0008637884,0.0004028127,0.0007135965,0.0006599073,0.004185245,0.0003194882,0.00004490406],"category_scores_gemma":[0.0001542743,0.0007353944,0.0007537246,0.0003176689,0.0001089325,0.00014419,0.004827188,0.00145599,0.00003982601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506695,"about_ca_system_score_gemma":0.0003288602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002157232,"about_ca_topic_score_gemma":0.000005950388,"domain_scores_codex":[0.9950637,0.0003093306,0.0007925091,0.001919395,0.0007781147,0.001137014],"domain_scores_gemma":[0.9963381,0.0005297957,0.0005569007,0.002186021,0.0001012449,0.0002879432],"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":[0.00008292804,0.0008115185,0.0005027288,0.0008363976,0.0004569373,0.0002124485,0.003748973,0.060532,0.00008129107,0.8343814,0.01686882,0.08148459],"study_design_scores_gemma":[0.0003512864,0.0002790099,0.001071461,0.00006614522,0.00002579339,0.0000180136,0.00001193107,0.6825205,0.00003620148,0.292456,0.02248263,0.0006810775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4655657,0.0009006525,0.5199599,0.001854469,0.009417782,0.001013658,0.0003458553,0.000796059,0.000145887],"genre_scores_gemma":[0.6758505,0.0001075063,0.3180427,0.001311351,0.002034892,0.001036155,0.0007502006,0.0002282938,0.0006384061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6219885,"threshold_uncertainty_score":0.9995097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561096261543227,"score_gpt":0.2777722477114761,"score_spread":0.2521612850960438,"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."}}