{"id":"W2087880971","doi":"10.1117/12.541178","title":"Quantum process tomography and the search for decoherence-free subspaces","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantum decoherence; Decoherence-free subspaces; Quantum error correction; Qubit; Physics; Quantum mechanics; Quantum channel; Computer science; Quantum; Quantum information","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":[0.0009237812,0.0004060456,0.000429919,0.0005136198,0.0006647761,0.0009870755,0.0007298542,0.0009426501,0.001099992],"category_scores_gemma":[0.003985254,0.0002606145,0.0002600962,0.000605849,0.004446541,0.003169186,0.001611958,0.001228605,0.0001797801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264328,"about_ca_system_score_gemma":0.0006394084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005175817,"about_ca_topic_score_gemma":0.0003748873,"domain_scores_codex":[0.9994199,0.0002261946,0.0000207155,0.0001081518,0.0001482876,0.00007670121],"domain_scores_gemma":[0.9975144,0.001507863,0.0003814058,0.0004011079,0.0001102405,0.0000850547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002718782,0.00006832453,0.00207725,0.0001306593,0.0000265271,0.0001871079,0.000313907,0.07443754,0.02787641,0.866329,0.0004417918,0.02783955],"study_design_scores_gemma":[0.00004243963,0.0001126817,0.0008215976,0.00002543362,0.00001046056,0.0001939297,0.00008037552,0.3740607,0.02990141,0.592239,0.002462534,0.00004939473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2983272,0.0008535231,0.6896921,0.001148928,0.00003935668,0.0000684749,0.0002212658,0.0003024645,0.009346762],"genre_scores_gemma":[0.8667526,0.000372688,0.1312662,0.0001243343,0.00002728278,0.0001126415,0.0001519556,0.00003975464,0.00115264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001099992,"threshold_uncertainty_score":0.004885495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141512074232824,"score_gpt":0.2363477649351613,"score_spread":0.224932644192833,"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."}}