{"id":"W4289912303","doi":"10.3389/fphy.2022.900099","title":"Programming physical quantum systems with pulse-level control","year":2022,"lang":"en","type":"article","venue":"Frontiers in Physics","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Advanced Scientific Computing Research; U.S. Department of Energy; Office of Science; Computing Research Association; National Science Foundation","keywords":"Quantum computer; Computer science; Quantum technology; Qubit; Quantum; Quantum information; Quantum algorithm; Quantum network; IBM; Open quantum system; Physics; Quantum mechanics","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":[0.0009447712,0.0002867756,0.0004300935,0.0002026833,0.0004583893,0.00138285,0.001328466,0.0006713591,0.005318579],"category_scores_gemma":[0.002917485,0.0003249513,0.0004311319,0.0003392505,0.001978837,0.001930996,0.001581051,0.002065183,0.0004703009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007453766,"about_ca_system_score_gemma":0.0006791435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006432937,"about_ca_topic_score_gemma":0.00114879,"domain_scores_codex":[0.9995229,0.0001492652,0.00002257557,0.00005713888,0.000175262,0.00007287268],"domain_scores_gemma":[0.9989587,0.0006914475,0.00005131303,0.0001530023,0.00009090061,0.00005465015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001666196,0.00013685,0.0004035555,0.0001688063,0.0000323381,0.0001083741,0.0003161856,0.09668329,0.01124271,0.8387803,0.004975033,0.04698587],"study_design_scores_gemma":[0.00008386745,0.00008366487,0.0001016856,0.00003292171,0.00001360851,0.00003075649,0.00004381299,0.6715332,0.006547264,0.3100616,0.01144278,0.0000248238],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0569358,0.0008493185,0.9073344,0.002302396,0.0004694826,0.0001952218,0.00008227713,0.001420414,0.03041066],"genre_scores_gemma":[0.7660353,0.0007799703,0.2202269,0.0007532873,0.0002224917,0.0004180117,0.0001054938,0.0002919255,0.01116669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005318579,"threshold_uncertainty_score":0.0177924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206935940008544,"score_gpt":0.2101905635735836,"score_spread":0.1981212041734982,"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."}}