{"id":"W2545576087","doi":"10.1103/physreva.95.013837","title":"Nonreciprocal quantum interactions and devices via autonomous feedforward","year":2017,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Neural Networks and Reservoir Computing","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Air Force Office of Scientific Research; Defense Advanced Research Projects Agency; University of Chicago","keywords":"Reciprocal; Feed forward; Quantum; Dissipative system; Computer science; Observer (physics); Ideal (ethics); Amplifier; Control theory (sociology); Bandwidth (computing); Physics; Quantum mechanics; Control engineering; Control (management); Engineering; Artificial intelligence; Telecommunications","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":[0.0002795103,0.0002356298,0.0002558873,0.0001887102,0.000247347,0.0005873999,0.0007109444,0.0005369881,0.001938665],"category_scores_gemma":[0.0006208431,0.0002084847,0.0002042524,0.0001501276,0.0008869683,0.00102736,0.0007747421,0.000633009,0.0003373531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003700023,"about_ca_system_score_gemma":0.0001902081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001569449,"about_ca_topic_score_gemma":0.0003226761,"domain_scores_codex":[0.9998152,0.0000358241,0.000008778311,0.00004639813,0.00007189937,0.0000219789],"domain_scores_gemma":[0.9997489,0.0001278452,0.00004084424,0.000036676,0.00002913633,0.00001660239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001769171,0.000154432,0.0003756817,0.0003797857,0.00005131708,0.0003548241,0.0003411825,0.02650792,0.5442982,0.3653986,0.001399291,0.06056176],"study_design_scores_gemma":[0.00009175839,0.0003675684,0.0006475609,0.00006886195,0.0000576999,0.0005251227,0.0000724064,0.4317684,0.3794657,0.1597393,0.02708932,0.0001062205],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3765187,0.00293696,0.577412,0.001385539,0.0003569339,0.0001684278,0.0001378304,0.001378934,0.03970464],"genre_scores_gemma":[0.9456346,0.0005930773,0.04785577,0.0001284047,0.00003023905,0.00006063742,0.00002328462,0.00003140561,0.005642623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001938665,"threshold_uncertainty_score":0.006485522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648325997132462,"score_gpt":0.3784594825506002,"score_spread":0.3519762225792756,"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."}}