{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007623598,0.0001371419,0.0001328661,0.00002907732,0.0003427514,0.00002422817,0.0001792493,0.00001158168,0.0000611211],"category_scores_gemma":[0.000006653198,0.0001570626,0.00005752726,0.0002927739,0.00002218621,0.0001290206,0.000146669,0.0003910381,0.00002874166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004904327,"about_ca_system_score_gemma":0.000008974612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001892697,"about_ca_topic_score_gemma":6.638355e-7,"domain_scores_codex":[0.9991755,0.00003874243,0.0001337313,0.0001781457,0.000183985,0.0002898418],"domain_scores_gemma":[0.9996585,0.00006208699,0.00003321491,0.0001813777,0.00001205659,0.00005274873],"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":[0.00001238669,0.00003016419,0.0002211771,0.00003612973,0.00001708584,0.00004761557,0.0006446043,0.907111,0.08299205,0.001795393,0.0002346044,0.006857817],"study_design_scores_gemma":[0.001084362,0.000456619,0.00142776,0.00005148776,0.00005393023,0.00008938974,0.001184223,0.7836792,0.1610356,0.03061088,0.01913321,0.001193241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955067,0.0001338413,0.002362422,0.0000501176,0.0008235546,0.0001035023,0.00001679344,0.0004684436,0.000534616],"genre_scores_gemma":[0.9994291,0.00001132413,0.0000742364,0.0001288127,0.0002108465,0.0000110407,0.00003009635,0.00004616358,0.00005835981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1234317,"threshold_uncertainty_score":0.6404827,"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."}}