{"id":"W4416407805","doi":"10.48550/arxiv.2507.19093","title":"Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quantum circuit; Electronic circuit; Quantum gate; Metric (unit); Quantum computer; Process (computing); Artificial neural network; Quantum; Graph","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004660515,0.001196685,0.0005951027,0.001051904,0.0003701296,0.000616449,0.0009945172,0.00079463,0.002344567],"category_scores_gemma":[0.00260848,0.0002887303,0.0004391975,0.0006696112,0.0003800291,0.00088764,0.0004507818,0.00122909,0.0006790205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001121325,"about_ca_system_score_gemma":0.001540755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065522,"about_ca_topic_score_gemma":0.01977366,"domain_scores_codex":[0.9996934,0.00006148749,0.00001316781,0.0001120145,0.00005764598,0.00006230366],"domain_scores_gemma":[0.9990357,0.0005589518,0.00008608989,0.00006583289,0.000206499,0.00004692578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002964812,0.0001905786,0.01200586,0.0001580646,0.0000700748,0.0001020916,0.00003010964,0.8370557,0.0047283,0.002560824,0.009894046,0.132908],"study_design_scores_gemma":[0.000006035932,0.00001884529,0.0003725122,0.000004750112,0.000007084541,0.000007243808,0.000006420315,0.9972001,0.0008994533,0.001202577,0.0002721682,0.000002723697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4661759,0.002825233,0.5083223,0.00205571,0.0003312126,0.0001742567,0.003060507,0.009706086,0.007348717],"genre_scores_gemma":[0.9063012,0.0003262878,0.08435599,0.0003358625,0.00006845021,0.0001136669,0.004111322,0.0002529193,0.004134289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01065522,"threshold_uncertainty_score":0.02118641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371286441105828,"score_gpt":0.2595096422033224,"score_spread":0.2357967777922641,"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."}}