{"id":"W4322766701","doi":"10.22331/q-2023-03-02-934","title":"Fast quantum circuit cutting with randomized measurements","year":2023,"lang":"en","type":"article","venue":"Quantum","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Xanadu Quantum Technologies (Canada)","funders":"Lawrence Berkeley National Laboratory; Office of Science; Defense Advanced Research Projects Agency; Flatiron Health; National Energy Research Scientific Computing Center; Simons Foundation; U.S. Department of Energy","keywords":"Qubit; Quantum computer; Computation; Electronic circuit; Quantum circuit; Quantum; Mathematics; Overhead (engineering); Omega; Algorithm; Computer science; Topology (electrical circuits); Quantum mechanics; Combinatorics; Quantum error correction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001353522,0.0009166539,0.001163461,0.001004044,0.001028404,0.002064044,0.002442327,0.001661763,0.01065882],"category_scores_gemma":[0.005712934,0.001129002,0.001202481,0.001127199,0.002029018,0.004343462,0.00442539,0.003221801,0.001894738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515284,"about_ca_system_score_gemma":0.001546364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423915,"about_ca_topic_score_gemma":0.002186258,"domain_scores_codex":[0.9969612,0.0006544692,0.000134349,0.0007221524,0.001191798,0.0003360866],"domain_scores_gemma":[0.9957486,0.001816642,0.0003248503,0.00166417,0.000321209,0.0001245648],"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":[0.0009462889,0.000212215,0.0009330809,0.0003269827,0.0001277814,0.0002313241,0.0002552533,0.1223057,0.05735759,0.5348604,0.00934049,0.2731028],"study_design_scores_gemma":[0.0002453829,0.000235988,0.0003556143,0.00005116909,0.00003930445,0.0001447592,0.00005137783,0.7238193,0.03562776,0.2256083,0.01372835,0.00009269759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02468165,0.0004765888,0.960116,0.0005575358,0.0002110146,0.0001271731,0.0001961528,0.003722438,0.009911399],"genre_scores_gemma":[0.4104066,0.000290018,0.5796264,0.0003447809,0.00009938859,0.000466126,0.0003376395,0.0006618785,0.007767245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01065882,"threshold_uncertainty_score":0.03565735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03189235801111866,"score_gpt":0.2483111023017082,"score_spread":0.2164187442905895,"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."}}