{"id":"W4404569756","doi":"10.48550/arxiv.2411.10406","title":"How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits","year":2024,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regional Municipality of Waterloo; Perimeter Institute; University of Waterloo","funders":"","keywords":"Supercomputer; Qubit; Scaling; Quantum computer; Computer science; Quantum; Parallel computing; Computational science; Physics; Quantum mechanics; Mathematics","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":[0.001632752,0.0005497862,0.0005871959,0.0006144995,0.0008302899,0.002063361,0.001004573,0.00101714,0.005419998],"category_scores_gemma":[0.009696097,0.0005375735,0.000398211,0.0007429842,0.001806705,0.007375667,0.001343424,0.002820249,0.001606422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270594,"about_ca_system_score_gemma":0.001354231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002782241,"about_ca_topic_score_gemma":0.001924498,"domain_scores_codex":[0.9991511,0.0001668936,0.00003516097,0.00009896789,0.0004643128,0.00008357037],"domain_scores_gemma":[0.9981169,0.0008993963,0.00006578927,0.0003609505,0.0004183824,0.0001386581],"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":[0.0001782092,0.0001148643,0.002774378,0.0005368224,0.0001640354,0.000116187,0.0003294411,0.2842706,0.01881634,0.5311208,0.02896493,0.1326134],"study_design_scores_gemma":[0.00003544739,0.0001041762,0.001051135,0.000193924,0.0000536918,0.0001113468,0.000232935,0.4678753,0.009939823,0.4377981,0.08255123,0.00005291194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2382789,0.02379437,0.5800079,0.04847626,0.002300621,0.0002383344,0.001171054,0.004561646,0.101171],"genre_scores_gemma":[0.8168061,0.01005813,0.1633539,0.001610642,0.0006542831,0.0002221974,0.000488826,0.001259283,0.005546703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005419998,"threshold_uncertainty_score":0.01813173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655408897359224,"score_gpt":0.2603251357908643,"score_spread":0.2337710468172721,"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."}}