{"id":"W3046528139","doi":"10.21468/scipostphys.12.1.039","title":"Spiking neuromorphic chip learns entangled quantum states","year":2022,"lang":"en","type":"article","venue":"SciPost Physics","topic":"Advanced Memory and Neural Computing","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"European Research Council; Deutsche Forschungsgemeinschaft; European Commission","keywords":"Neuromorphic engineering; Qubit; Realization (probability); Computer science; Quantum; Quantum computer; Artificial neural network; Block (permutation group theory); Computer architecture; Physics; Artificial intelligence; Quantum mechanics; Mathematics","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":[0.0001552021,0.000166936,0.00023203,0.00009556899,0.0001776194,0.0004269138,0.0006458111,0.0003498761,0.002024219],"category_scores_gemma":[0.0005594341,0.0001252052,0.0001970796,0.000135363,0.0003356241,0.0006118008,0.0004732733,0.000439577,0.0002748084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181938,"about_ca_system_score_gemma":0.0002845991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000283506,"about_ca_topic_score_gemma":0.0003034188,"domain_scores_codex":[0.9999253,0.0000111482,0.000004358991,0.00001578745,0.00003074456,0.00001269733],"domain_scores_gemma":[0.9998605,0.00004818299,0.00001244369,0.0000327964,0.00002857848,0.00001751734],"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":[0.0002856948,0.0003860434,0.002947158,0.0002494018,0.0001274359,0.000524752,0.0002380941,0.1533594,0.5997874,0.0777455,0.004001363,0.1603477],"study_design_scores_gemma":[0.00002685972,0.0001773142,0.0008954179,0.00001474503,0.00002047142,0.0001378945,0.00004315488,0.8256951,0.1484484,0.01821283,0.006305831,0.00002184288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5708928,0.0002277873,0.4118628,0.000614552,0.0002602636,0.00007684663,0.0001575897,0.002223571,0.0136838],"genre_scores_gemma":[0.9537831,0.0001099776,0.0436163,0.00008760612,0.000009506123,0.00003094986,0.0000682367,0.00004279038,0.002251583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002024219,"threshold_uncertainty_score":0.006771743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662017022114764,"score_gpt":0.2205759080298255,"score_spread":0.1939557378086779,"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."}}