{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:BWU4MREBE6BYRW7WONRZJSICUH","short_pith_number":"pith:BWU4MREB","schema_version":"1.0","canonical_sha256":"0da9c64481278388dbf6736394c902a1f52da4a486c872c8ec8b9bebe26f94c4","source":{"kind":"arxiv","id":"1301.3235","version":3},"attestation_state":"computed","paper":{"title":"Robust control of quantum gates via sequential convex programming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"quant-ph","authors_text":"Constantin Brif, Matthew D. Grace, Robert L. Kosut","submitted_at":"2013-01-15T06:34:32Z","abstract_excerpt":"Resource tradeoffs can often be established by solving an appropriate robust optimization problem for a variety of scenarios involving constraints on optimization variables and uncertainties. Using an approach based on sequential convex programming, we demonstrate that quantum gate transformations can be made substantially robust against uncertainties while simultaneously using limited resources of control amplitude and bandwidth. Achieving such a high degree of robustness requires a quantitative model that specifies the range and character of the uncertainties. Using a model of a controlled o"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1301.3235","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2013-01-15T06:34:32Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"7f1e4698ad299df600f10219627f928e42581d816e21e5468db21913eda8366d","abstract_canon_sha256":"4571de70c91d9038b280ebd54778d4bcd82f15c698205492b3a7eef40fef48bc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:04:38.188515Z","signature_b64":"mvjVGFqJw/+WCcwnH12n1/kmpkb8syYD6qjr0F/AMYK7+EL5aL3FYpA05icFo2LugDEppScC0ughn8M8JiYMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0da9c64481278388dbf6736394c902a1f52da4a486c872c8ec8b9bebe26f94c4","last_reissued_at":"2026-05-18T03:04:38.187677Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:04:38.187677Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust control of quantum gates via sequential convex programming","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"quant-ph","authors_text":"Constantin Brif, Matthew D. Grace, Robert L. Kosut","submitted_at":"2013-01-15T06:34:32Z","abstract_excerpt":"Resource tradeoffs can often be established by solving an appropriate robust optimization problem for a variety of scenarios involving constraints on optimization variables and uncertainties. Using an approach based on sequential convex programming, we demonstrate that quantum gate transformations can be made substantially robust against uncertainties while simultaneously using limited resources of control amplitude and bandwidth. Achieving such a high degree of robustness requires a quantitative model that specifies the range and character of the uncertainties. Using a model of a controlled o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.3235","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1301.3235","created_at":"2026-05-18T03:04:38.187828+00:00"},{"alias_kind":"arxiv_version","alias_value":"1301.3235v3","created_at":"2026-05-18T03:04:38.187828+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.3235","created_at":"2026-05-18T03:04:38.187828+00:00"},{"alias_kind":"pith_short_12","alias_value":"BWU4MREBE6BY","created_at":"2026-05-18T12:27:40.988391+00:00"},{"alias_kind":"pith_short_16","alias_value":"BWU4MREBE6BYRW7W","created_at":"2026-05-18T12:27:40.988391+00:00"},{"alias_kind":"pith_short_8","alias_value":"BWU4MREB","created_at":"2026-05-18T12:27:40.988391+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH","json":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH.json","graph_json":"https://pith.science/api/pith-number/BWU4MREBE6BYRW7WONRZJSICUH/graph.json","events_json":"https://pith.science/api/pith-number/BWU4MREBE6BYRW7WONRZJSICUH/events.json","paper":"https://pith.science/paper/BWU4MREB"},"agent_actions":{"view_html":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH","download_json":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH.json","view_paper":"https://pith.science/paper/BWU4MREB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1301.3235&json=true","fetch_graph":"https://pith.science/api/pith-number/BWU4MREBE6BYRW7WONRZJSICUH/graph.json","fetch_events":"https://pith.science/api/pith-number/BWU4MREBE6BYRW7WONRZJSICUH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH/action/storage_attestation","attest_author":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH/action/author_attestation","sign_citation":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH/action/citation_signature","submit_replication":"https://pith.science/pith/BWU4MREBE6BYRW7WONRZJSICUH/action/replication_record"}},"created_at":"2026-05-18T03:04:38.187828+00:00","updated_at":"2026-05-18T03:04:38.187828+00:00"}