{"id":"W4393813467","doi":"10.5281/zenodo.10447636","title":"Cost Analysis Results of the Generation Circuits of the Entanglement Classes of Graph States with up to 7 Qubits","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Qubit; Quantum entanglement; Graph; Electronic circuit; Computer science; Quantum mechanics; Theoretical computer science; Physics; Quantum","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":[0.0008903743,0.002883843,0.001421795,0.002825001,0.0009965013,0.001809652,0.002826283,0.002855884,0.0223796],"category_scores_gemma":[0.005622489,0.0004057828,0.002086108,0.004693037,0.0006001728,0.001165028,0.001153433,0.001823213,0.01909052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002652277,"about_ca_system_score_gemma":0.001632592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01991799,"about_ca_topic_score_gemma":0.03319257,"domain_scores_codex":[0.9985557,0.0002173571,0.0001022729,0.0005090072,0.0003824567,0.0002331674],"domain_scores_gemma":[0.9979898,0.0007751154,0.0001514417,0.000497633,0.0004463849,0.0001396921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003706007,0.0001786119,0.003095866,0.002018604,0.0001822287,0.0001303647,0.00004308933,0.00794615,0.0007889176,0.003134381,0.9681631,0.01394806],"study_design_scores_gemma":[0.00126187,0.0002097049,0.02391963,0.0007467163,0.0002842073,0.0006688462,0.0002666613,0.03089119,0.005260479,0.01915227,0.9172326,0.0001057701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007740853,0.000940445,0.000515265,0.0003196604,0.00006821624,0.00004526387,0.9854686,0.001234247,0.003667535],"genre_scores_gemma":[0.006711738,0.0001934441,0.0008414897,0.00008642506,0.00001497113,0.00008675042,0.990877,0.00009336982,0.00109484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0223796,"threshold_uncertainty_score":0.07486725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03869170772212364,"score_gpt":0.2559188879291971,"score_spread":0.2172271802070735,"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."}}