{"id":"W4378800967","doi":"10.1145/3583781.3590274","title":"Multi-Transverse-Mode Silicon Photonics for Quantum Computing","year":2023,"lang":"en","type":"article","venue":"","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Photonics; Quantum computer; Silicon photonics; Qubit; Nanophotonics; Photon; Quantum information; Computer science; Optical computing; Optoelectronics; Physics; Quantum; Electronic engineering; Optics; Quantum mechanics; Engineering","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":[0.0003478068,0.0001623118,0.0001951878,0.00009936148,0.0003406189,0.0001747335,0.0008787963,0.00007083049,0.000003671637],"category_scores_gemma":[0.00002523017,0.0001351194,0.000157167,0.0006521881,0.00002586707,0.0001997052,0.0003371094,0.0001419455,0.00006366611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002073894,"about_ca_system_score_gemma":0.00003733601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004601131,"about_ca_topic_score_gemma":0.00002682171,"domain_scores_codex":[0.9984267,0.00003470086,0.0002682993,0.0004844932,0.0001912831,0.0005945627],"domain_scores_gemma":[0.9989871,0.0003510391,0.00006599982,0.000411632,0.00007297803,0.0001112105],"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":[0.00003313379,0.0002565592,0.0009575564,0.0002821874,0.000116403,0.000115107,0.002575107,0.7152462,0.03935064,0.114253,0.02790226,0.09891187],"study_design_scores_gemma":[0.0005134899,0.00005531121,0.0002906899,0.00002515806,0.000002751248,0.000005763057,0.00004835884,0.9914982,0.001707401,0.0006579075,0.004996872,0.0001981292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1322972,0.00004556287,0.863728,0.001147529,0.001066855,0.0003520865,0.000002023527,0.001120815,0.0002399264],"genre_scores_gemma":[0.8688088,0.00002076902,0.1299563,0.000456615,0.0001307507,0.000009673204,0.000006911639,0.0000212202,0.0005889263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7365116,"threshold_uncertainty_score":0.5510008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354411415237571,"score_gpt":0.3151654872158798,"score_spread":0.2716213730635041,"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."}}