{"id":"W6979342099","doi":"","title":"Photonic processor benchmarking for variational quantum process tomography","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Chemical Safety and Risk Management","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Photonics; Quantum computer; Dephasing; Quantum; Quantum algorithm; Noise (video); Quantum circuit; Quantum sensor; Quantum tomography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001934794,0.0004267296,0.0003786792,0.0003602738,0.0006319971,0.0009235567,0.001552831,0.0009336322,0.004524008],"category_scores_gemma":[0.006881183,0.0002191138,0.0003055673,0.0005132102,0.001147462,0.00176634,0.001305221,0.001327792,0.0004802993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164664,"about_ca_system_score_gemma":0.001581386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002227133,"about_ca_topic_score_gemma":0.002290261,"domain_scores_codex":[0.9988101,0.0003494477,0.00003835051,0.000167702,0.0004939681,0.0001404714],"domain_scores_gemma":[0.9977822,0.001088048,0.0001100903,0.0005555609,0.0003661937,0.00009790432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009246402,0.0006035708,0.005020544,0.0003326008,0.0001074726,0.0002855245,0.0002489222,0.6756197,0.04410806,0.1875086,0.007353986,0.07788643],"study_design_scores_gemma":[0.00004866384,0.0002243491,0.0005134353,0.00001013328,0.000007786132,0.00003960854,0.00004243945,0.9581197,0.02744657,0.01084705,0.002684821,0.000015473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6417906,0.0003311951,0.3143143,0.001084232,0.0001430489,0.000232158,0.0005957317,0.003517595,0.03799129],"genre_scores_gemma":[0.9151149,0.00005973757,0.08254407,0.000105097,0.0000111759,0.0001098765,0.0004262472,0.0002403146,0.001388587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004524008,"threshold_uncertainty_score":0.01513433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441934084971684,"score_gpt":0.2633238558331099,"score_spread":0.2489045149833931,"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."}}