{"id":"W2912290323","doi":"10.20944/preprints201905.0021.v1","title":"Quantum Computing in Four Spatial Dimensions","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Quantum entanglement; Quantum computer; Superposition principle; Computation; Dimension (graph theory); Quantum; Set (abstract data type); Computer science; Volume (thermodynamics); Charge (physics); Theoretical physics; Topology (electrical circuits); Physics; Theoretical computer science; Quantum mechanics; Mathematics; Algorithm; Pure mathematics; Combinatorics","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":[0.0005451545,0.0002568893,0.000396728,0.0006753986,0.0008208366,0.001957215,0.0005071783,0.0005750303,0.002921498],"category_scores_gemma":[0.001176304,0.00023901,0.0004136574,0.0007194569,0.00282495,0.002425521,0.001556672,0.0009314096,0.0003843703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363451,"about_ca_system_score_gemma":0.0006542625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009276593,"about_ca_topic_score_gemma":0.0007153766,"domain_scores_codex":[0.9996736,0.0001247004,0.00001901868,0.00004376397,0.00009382978,0.0000451435],"domain_scores_gemma":[0.9995642,0.0001619222,0.00002937662,0.0001314968,0.00007590175,0.00003694527],"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":[0.00001648603,0.000007061326,0.00008974893,0.00002001223,0.000005039437,0.00001540388,0.00005564454,0.01236432,0.001109921,0.9798874,0.0004207202,0.006008427],"study_design_scores_gemma":[0.000008360847,0.00001010336,0.00008822334,0.000008460757,0.000003531822,0.00001940129,0.00002863799,0.06405807,0.0009410574,0.9302651,0.004560475,0.000008553088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4535859,0.00371905,0.4134705,0.005814966,0.0004787238,0.00008009132,0.0003208643,0.0006406814,0.1218892],"genre_scores_gemma":[0.8997384,0.0008563362,0.09071004,0.0001932751,0.0001049587,0.00009134592,0.00008339841,0.00004337865,0.008178818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002921498,"threshold_uncertainty_score":0.009892642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06951460419783367,"score_gpt":0.3137925447502071,"score_spread":0.2442779405523735,"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."}}