{"id":"W7110328578","doi":"10.4230/lipics.stacs.2025.54","title":"Multidimensional Quantum Walks, Recursion, and Quantum Divide & Conquer","year":2024,"lang":"en","type":"article","venue":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; European Commission; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Canadian Institute for Advanced Research","keywords":"Divide and conquer algorithms; Quantum; Subspace topology; Simple (philosophy); Quadratic growth; Quantum algorithm; Quantum network; Quantum logic; Quantum computer; Topology (electrical circuits)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007795176,0.0003926381,0.0004640219,0.000804749,0.001236114,0.001333248,0.0009948546,0.0008941291,0.006548621],"category_scores_gemma":[0.002016312,0.0002926348,0.0006965087,0.001168515,0.002562849,0.004087179,0.002010819,0.001720932,0.0007324378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092414,"about_ca_system_score_gemma":0.0008640247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001682088,"about_ca_topic_score_gemma":0.002981638,"domain_scores_codex":[0.999319,0.000222778,0.00002956359,0.0001142007,0.0001912188,0.0001233065],"domain_scores_gemma":[0.9993066,0.0003038743,0.00004700587,0.0002029996,0.00008301672,0.00005645817],"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":[0.00002324558,0.00001770437,0.0001053499,0.00002551137,0.000005630949,0.00003050266,0.0001070332,0.007974489,0.001796496,0.9702423,0.0006258457,0.01904586],"study_design_scores_gemma":[0.0000138263,0.00002027667,0.00007554966,0.0000113705,0.000007311537,0.00006333491,0.0000478519,0.1112123,0.003223099,0.8766323,0.008678857,0.00001397183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02763246,0.0002515246,0.9549575,0.0005171456,0.00006144067,0.00005554049,0.00006022668,0.0006694464,0.01579466],"genre_scores_gemma":[0.4241965,0.000279063,0.5660838,0.0003334622,0.0000539892,0.0001987073,0.0001170611,0.0003482523,0.008389208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006548621,"threshold_uncertainty_score":0.02190727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866742079682993,"score_gpt":0.341117747008339,"score_spread":0.2924503262115091,"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."}}