{"id":"W2015478570","doi":"10.1109/isit.2009.5205591","title":"The capacity of quantum channels with side information at the transmitter","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Transmitter; Classical capacity; Quantum entanglement; Parallels; Quantum capacity; Quantum channel; Computer science; Quantum; Amplitude damping channel; Channel capacity; Superdense coding; Coding (social sciences); Upper and lower bounds; Topology (electrical circuits); Quantum network; Quantum mechanics; Physics; Computer network; Mathematics; Engineering; Channel (broadcasting); Combinatorics; Statistics","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":[0.0006031431,0.0002457066,0.0002267094,0.00005691045,0.0003891951,0.0003258754,0.001672472,0.0001124184,0.000003393998],"category_scores_gemma":[0.00001404709,0.0001017157,0.0001373022,0.0001792836,0.0001616175,0.0001602866,0.0006218351,0.0005910645,0.00001160474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002953263,"about_ca_system_score_gemma":0.00008932947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000178738,"about_ca_topic_score_gemma":0.00005581495,"domain_scores_codex":[0.9984736,0.0001245075,0.0003764596,0.0002575123,0.0004733946,0.0002945049],"domain_scores_gemma":[0.9982054,0.0002273716,0.0003078368,0.001077723,0.0001327989,0.00004884185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006145322,0.00007297601,0.00006105343,0.0002126968,0.0001898304,0.000005811884,0.01815287,0.4499575,0.00006651102,0.0982765,0.004347861,0.428595],"study_design_scores_gemma":[0.0001654477,0.0001168837,0.001456168,0.0001050023,0.00001122092,0.00003559882,0.00003051638,0.9653078,0.001461767,0.02359916,0.007482002,0.0002284813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1181305,0.00009671797,0.8664823,0.01300344,0.0005188174,0.0003863988,0.000006297939,0.0001231576,0.001252384],"genre_scores_gemma":[0.9803873,0.00004374141,0.0176949,0.001484636,0.0001531547,0.00002086378,0.000007566967,0.00000944368,0.0001983706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8622568,"threshold_uncertainty_score":0.4147846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082451461546757,"score_gpt":0.2072635484658104,"score_spread":0.1964390338503429,"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."}}