{"id":"W2033826401","doi":"10.1016/j.cplett.2004.10.078","title":"Implementing Grover’s quantum search on a para-hydrogen based pure state NMR quantum computer","year":2004,"lang":"en","type":"article","venue":"Chemical Physics Letters","topic":"Quantum Computing Algorithms and Architecture","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Engineering and Physical Sciences Research Council; Mitacs; Rhodes Scholarships","keywords":"Singlet state; State (computer science); Quantum computer; Quantum; One-way quantum computer; Qubit; Quantum chemical; Quantum mechanics; Quantum state; Physics; Spin (aerodynamics); Function (biology); Chemistry; Quantum error correction; Algorithm; Mathematics; Thermodynamics; Excited state; Molecule","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003267105,0.0004326933,0.0003754295,0.00009034126,0.0002961795,0.0002727358,0.001293493,0.00006425782,0.000003854877],"category_scores_gemma":[0.00001097764,0.0003997206,0.0002771456,0.0005548798,0.0001349614,0.0002148593,0.0005975518,0.0007376462,0.00008811118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000151753,"about_ca_system_score_gemma":0.0001016021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004284047,"about_ca_topic_score_gemma":4.839393e-7,"domain_scores_codex":[0.9965537,0.00008016214,0.0003983243,0.000978617,0.0007590922,0.001230148],"domain_scores_gemma":[0.9984884,0.0001980072,0.0001444379,0.0008490426,0.00006181973,0.0002582644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004417893,0.0006089535,0.0001166509,0.0001149677,0.0001346241,0.0002019071,0.001343691,0.3682284,0.5538473,0.02760635,0.005070699,0.0426823],"study_design_scores_gemma":[0.001307156,0.0001469295,0.00008718574,0.0001235991,0.000008820823,0.00001163881,0.000004687274,0.8035192,0.1810778,0.01122241,0.001856498,0.0006340237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5235071,0.000007725833,0.4647501,0.01119889,0.0001349295,0.0001463913,0.000009665409,0.0002297458,0.00001551213],"genre_scores_gemma":[0.9441947,0.000001151931,0.0343294,0.02083693,0.0005383157,0.00001311198,0.00003450402,0.00004952899,0.000002335722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4352909,"threshold_uncertainty_score":0.9998454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646397828791757,"score_gpt":0.2485165390669681,"score_spread":0.2320525607790505,"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."}}