{"id":"W2897180663","doi":"10.1103/physrevlett.122.120504","title":"Experimental Quantum Switching for Exponentially Superior Quantum Communication Complexity","year":2019,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Canadian Institute for Advanced Research; Xanadu Quantum Technologies (Canada)","funders":"Australian Research Council; Chinese Academy of Sciences; National Natural Science Foundation of China; National Key Research and Development Program of China; Shanghai Science and Technology Development Foundation","keywords":"Computer science; Quantum; Quantum information science; Quantum computer; Quantum information; Communication complexity; Superposition principle; Quantum superposition; Quantum network; Quantum complexity theory; Coherence (philosophical gambling strategy); Quantum capacity; Theoretical computer science; Quantum error correction; Statistical physics; Quantum mechanics; Physics; Quantum entanglement","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003604767,0.0002572227,0.0005029381,0.00004282625,0.0002598437,0.0001477395,0.001325933,0.00001347968,0.00001124459],"category_scores_gemma":[0.00002948722,0.0002195912,0.0003335848,0.0002150112,0.00005960582,0.0003209957,0.0004258196,0.0002586646,0.0001089961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004620319,"about_ca_system_score_gemma":0.00002809407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003204582,"about_ca_topic_score_gemma":5.400362e-7,"domain_scores_codex":[0.9982018,0.0001918809,0.0003459106,0.0005245662,0.0003321833,0.0004035966],"domain_scores_gemma":[0.9983644,0.0002814342,0.0001698715,0.001031614,0.00004474303,0.0001079469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003732947,0.00092777,0.0001280425,0.002188321,0.0001278498,0.000008271193,0.003755874,0.001663259,0.6668123,0.2917106,0.005108437,0.02753192],"study_design_scores_gemma":[0.0004841056,0.0001612,0.0003968774,0.001094581,0.00001848546,0.00001167901,0.00001784806,0.9860878,0.002693636,0.003214554,0.005390051,0.0004291693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7992061,0.004201427,0.1834103,0.0117196,0.0003502606,0.0008838569,0.000004141429,0.0001936904,0.00003057764],"genre_scores_gemma":[0.9696283,0.0001198248,0.01998222,0.01000181,0.0001508147,0.00007260837,0.00001701013,0.00002425305,0.000003173235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9844245,"threshold_uncertainty_score":0.8954668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02727242470232518,"score_gpt":0.3033709802503543,"score_spread":0.2760985555480291,"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."}}