{"id":"W4380716178","doi":"10.21468/scipostphyslectnotes.72","title":"Quantum computation with cat qubits","year":2023,"lang":"en","type":"article","venue":"SciPost Physics Lecture Notes","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Sorbonne Université; Centre National de la Recherche Scientifique; QuantIC; Yale University","keywords":"Qubit; Quantum computer; Computer science; Quantum error correction; Dissipation; Error detection and correction; Quantum information; Quantum; Photon; Electronic engineering; Universal set; Set (abstract data type); Computer engineering; Physics; Quantum mechanics; Algorithm; Engineering","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":[0.000439475,0.0003700751,0.0004559644,0.0005968061,0.000764661,0.001891156,0.0004288596,0.0006788578,0.01014194],"category_scores_gemma":[0.001471681,0.0002177985,0.0005256417,0.0006371484,0.001800401,0.002037662,0.001124984,0.001400265,0.001162525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008850624,"about_ca_system_score_gemma":0.0004327441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006622529,"about_ca_topic_score_gemma":0.0009091638,"domain_scores_codex":[0.9996575,0.0001032599,0.00001531195,0.00005082945,0.0001386383,0.00003457014],"domain_scores_gemma":[0.9997049,0.0001292858,0.00001603258,0.00004861737,0.00006766289,0.00003336338],"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":[0.00002746194,0.000008814531,0.00007559379,0.00005008863,0.00001027342,0.00004076335,0.00007453468,0.001996583,0.001637526,0.9815638,0.006667567,0.007847082],"study_design_scores_gemma":[0.00001724627,0.000047846,0.0001825412,0.00004190095,0.00001018148,0.0001163058,0.00004115828,0.03526108,0.003257562,0.897034,0.06396582,0.00002435113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1277585,0.02058153,0.4675811,0.02021915,0.01128545,0.0002670723,0.001004957,0.001052629,0.3502496],"genre_scores_gemma":[0.7672781,0.009074814,0.1063739,0.002573793,0.001932344,0.0003092343,0.0006255431,0.0003666502,0.1114656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01014194,"threshold_uncertainty_score":0.03392816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478132026636702,"score_gpt":0.2454989179964337,"score_spread":0.2307175977300667,"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."}}