{"id":"W4415366762","doi":"10.1109/isit63088.2025.11195355","title":"Quantum Capacity Amplification via Privacy","year":2025,"lang":"","type":"article","venue":"","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Erasure; Classical capacity; Channel (broadcasting); Binary erasure channel; Quantum channel; Quantum; Quantum capacity; Coherent information; Amplitude damping channel","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007035685,0.0004459443,0.0004271019,0.0003684129,0.0007487698,0.0006994624,0.002173119,0.0002230047,0.00008503473],"category_scores_gemma":[0.0001352015,0.0004098556,0.0002372779,0.001832934,0.0002200103,0.000317628,0.001049626,0.0006556924,0.0002546607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089873,"about_ca_system_score_gemma":0.0003133037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003085822,"about_ca_topic_score_gemma":0.000007822683,"domain_scores_codex":[0.9965285,0.0002587829,0.0007462662,0.001246945,0.0004430967,0.0007764013],"domain_scores_gemma":[0.9972164,0.0002605388,0.0002309711,0.001828076,0.0002635955,0.0002004163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008900659,0.0002978362,0.0003336963,0.0001175751,0.00007248954,0.000005717402,0.00138623,0.002206275,0.001471243,0.3805313,0.002712367,0.6108564],"study_design_scores_gemma":[0.0003313071,0.00009082339,0.008324348,0.0001462031,0.0000225809,0.00001670909,0.00001344533,0.8954959,0.001944161,0.06996975,0.02324984,0.0003949515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07753861,0.0003923614,0.9029789,0.01013885,0.003175752,0.0003875105,0.000003694322,0.000402926,0.00498141],"genre_scores_gemma":[0.9162881,0.00003371599,0.0797127,0.001490999,0.0002274305,0.0000102787,0.000003009854,0.00001444577,0.002219314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8932896,"threshold_uncertainty_score":0.9998353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908496386990852,"score_gpt":0.256216174134182,"score_spread":0.2371312102642735,"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."}}