{"id":"W4319736340","doi":"10.1145/3579368","title":"Hybrid Quantum Annealing for Larger-than-QPU Lattice-structured Problems","year":2023,"lang":"en","type":"article","venue":"ACM Transactions on Quantum Computing","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"D-Wave Systems (Canada)","funders":"","keywords":"Quantum annealing; Coprocessor; Simulated annealing; Computer science; Lattice (music); Annealing (glass); Computational science; Iterated function; Quantum; Algorithm; Quantum computer; Mathematical optimization; Materials science; Parallel computing; Mathematics; Physics; Quantum mechanics; Mathematical analysis","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":[0.0006354343,0.000303492,0.0005811462,0.0003143768,0.0005158775,0.0007135498,0.001037886,0.0007474347,0.002829649],"category_scores_gemma":[0.001288311,0.0002744269,0.0004585006,0.0003926254,0.0006936018,0.0006774366,0.0008586186,0.0009037146,0.0003502277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005610011,"about_ca_system_score_gemma":0.0007863513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001587718,"about_ca_topic_score_gemma":0.002661748,"domain_scores_codex":[0.9997012,0.0001089522,0.00001213698,0.00003589275,0.0001036563,0.00003804314],"domain_scores_gemma":[0.9993553,0.0004027209,0.00002982424,0.00009738636,0.00007893473,0.00003582917],"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":[0.0002082342,0.0001368091,0.000851945,0.0001087267,0.00006236099,0.000077587,0.0001063134,0.8614218,0.01376545,0.06331782,0.001607989,0.05833497],"study_design_scores_gemma":[0.00001310068,0.00002033802,0.00006100908,0.000001851348,0.000002064247,0.000007224443,0.000006821451,0.9935294,0.00116084,0.004813492,0.0003803432,0.000003555431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1531323,0.0002935311,0.8339319,0.0003069656,0.00007129589,0.00009062694,0.00006551076,0.0008750333,0.01123288],"genre_scores_gemma":[0.5937486,0.00008179808,0.4032878,0.0001185474,0.00001943312,0.0002048967,0.00008480529,0.0001876332,0.002266623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002829649,"threshold_uncertainty_score":0.009466112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737994300362754,"score_gpt":0.2718793840757956,"score_spread":0.2444994410721681,"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."}}