{"id":"W3200537988","doi":"10.1103/physrevlett.129.050505","title":"Quantifying Nonlocality: How Outperforming Local Quantum Codes Is Expensive","year":2022,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"National Science Foundation","keywords":"Low-density parity-check code; Physics; Quantum nonlocality; Omega; Quantum; Dimension (graph theory); Code (set theory); Discrete mathematics; Quantum mechanics; Combinatorics; Decoding methods; Computer science; Quantum entanglement; Mathematics; Algorithm","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":[0.006421607,0.00101939,0.001765833,0.000875476,0.001806235,0.003220343,0.004002374,0.002834721,0.007799871],"category_scores_gemma":[0.04951592,0.0008246507,0.0005689131,0.001146733,0.006380653,0.01674112,0.004966643,0.003348167,0.001569598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377085,"about_ca_system_score_gemma":0.002663694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002489196,"about_ca_topic_score_gemma":0.002456659,"domain_scores_codex":[0.9936673,0.002183066,0.0003344977,0.001163119,0.001978386,0.0006735171],"domain_scores_gemma":[0.9616139,0.02159277,0.002773451,0.010606,0.00219857,0.001215324],"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":[0.0009054822,0.0002570942,0.006724822,0.0008231637,0.0002391293,0.0003898022,0.000471653,0.2457417,0.02813789,0.6113452,0.008788441,0.0961756],"study_design_scores_gemma":[0.00006575872,0.0003040008,0.001061986,0.0001109358,0.00009136844,0.0001694835,0.000167166,0.4227037,0.01276043,0.5577663,0.004706076,0.00009282234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4608068,0.004744289,0.4668683,0.01577786,0.0005385083,0.0002279433,0.0008985189,0.002428692,0.04770919],"genre_scores_gemma":[0.9527478,0.0008748405,0.04135808,0.0006337523,0.0002420877,0.0001323504,0.0002472439,0.0005025207,0.003261403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007799871,"threshold_uncertainty_score":0.03396112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146167953438782,"score_gpt":0.2916615374567209,"score_spread":0.2601998579223331,"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."}}