{"id":"W4401030971","doi":"10.1145/3674151","title":"ARQUIN: Architectures for Multinode Superconducting Quantum Computers","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Quantum Computing","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Lawrence Berkeley National Laboratory; Office of Science; National Energy Research Scientific Computing Center; U.S. Department of Energy","keywords":"Computer science; Quantum entanglement; Quantum computer; Scalability; Modular design; Computer engineering; Compiler; Software; Context (archaeology); Construct (python library); Quantum; Computer architecture; Quantum technology; Physics; Quantum mechanics; Computer network; Open quantum system; Programming language","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":[0.0005735636,0.0002612738,0.0003053646,0.0002980235,0.0005878909,0.0008938416,0.0009927494,0.0005105598,0.0096448],"category_scores_gemma":[0.001185727,0.0001929727,0.0002334591,0.000359269,0.0007010985,0.001810308,0.000863368,0.0008455769,0.001249439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009333543,"about_ca_system_score_gemma":0.0006418017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168668,"about_ca_topic_score_gemma":0.002591443,"domain_scores_codex":[0.9996982,0.00009660074,0.0000121272,0.00005023466,0.0001046273,0.00003818755],"domain_scores_gemma":[0.99961,0.00009405387,0.00003500571,0.0001031969,0.0001114651,0.00004635831],"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":[0.0004046468,0.0001157198,0.001560833,0.0003736872,0.0000633302,0.0001791173,0.0004133176,0.09218434,0.04104479,0.7058018,0.02783318,0.1300253],"study_design_scores_gemma":[0.0001046596,0.0003590445,0.000942943,0.0001116227,0.00004553211,0.0001946175,0.0001287244,0.6072897,0.02286946,0.2407013,0.1271955,0.00005677819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1747394,0.004279756,0.7004615,0.00371172,0.001109676,0.000206644,0.0004133528,0.009864222,0.1052136],"genre_scores_gemma":[0.7645546,0.001026847,0.2109738,0.0003787348,0.0001755589,0.000151536,0.0003266187,0.0004113135,0.0220011],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0096448,"threshold_uncertainty_score":0.03226507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631370093592012,"score_gpt":0.2822619352335047,"score_spread":0.2559482342975846,"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."}}