{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:SDK5RLXSLABCR3JUNXVKOM6WNQ","short_pith_number":"pith:SDK5RLXS","schema_version":"1.0","canonical_sha256":"90d5d8aef2580228ed346deaa733d66c279e7b3f7b90578ee93c6626301c06f1","source":{"kind":"arxiv","id":"1104.4639","version":1},"attestation_state":"computed","paper":{"title":"Optimal control of population and coherence in three-level $\\Lambda$ systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.chem-ph"],"primary_cat":"quant-ph","authors_text":"Praveen Kumar, Svetlana A. Malinovskaya, Vladimir S. Malinovsky","submitted_at":"2011-04-24T15:47:27Z","abstract_excerpt":"Optimal control theory implementations for an efficient population transfer and creation of a maximum coherence in three-level system are considered. We demonstrate that the half-STIRAP (stimulated Raman adiabatic passage) scheme for creation of the maximum Raman coherence is the optimal solution according to the optimal control theory. We also present a comparative study of several implementations of optimal control theory applied to the complete population transfer and creation of the maximum coherence. Performance of the conjugate gradient method, the Zhu-Rabitz method and the Krotov method"},"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":"1104.4639","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2011-04-24T15:47:27Z","cross_cats_sorted":["physics.chem-ph"],"title_canon_sha256":"83cc6ee2231163a6f2018a0cd5b56f631f9e3b0ac4ed597f0462c7696855dd41","abstract_canon_sha256":"cafebf539da6c7b423f6e34772a74d6c3676dc0a115d67515a56ac7eaffc5da5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:02:15.648004Z","signature_b64":"Wew5l0Ui0dzEz7H4rcP3mPNznBovsDK/Cv9rqu7GX9TTICfZutvmKBi7WGlAOf5N3IqMsx0KIMdqSjiKVY12Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"90d5d8aef2580228ed346deaa733d66c279e7b3f7b90578ee93c6626301c06f1","last_reissued_at":"2026-05-18T02:02:15.647061Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:02:15.647061Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal control of population and coherence in three-level $\\Lambda$ systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.chem-ph"],"primary_cat":"quant-ph","authors_text":"Praveen Kumar, Svetlana A. Malinovskaya, Vladimir S. Malinovsky","submitted_at":"2011-04-24T15:47:27Z","abstract_excerpt":"Optimal control theory implementations for an efficient population transfer and creation of a maximum coherence in three-level system are considered. We demonstrate that the half-STIRAP (stimulated Raman adiabatic passage) scheme for creation of the maximum Raman coherence is the optimal solution according to the optimal control theory. We also present a comparative study of several implementations of optimal control theory applied to the complete population transfer and creation of the maximum coherence. Performance of the conjugate gradient method, the Zhu-Rabitz method and the Krotov method"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1104.4639","kind":"arxiv","version":1},"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":"1104.4639","created_at":"2026-05-18T02:02:15.647185+00:00"},{"alias_kind":"arxiv_version","alias_value":"1104.4639v1","created_at":"2026-05-18T02:02:15.647185+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1104.4639","created_at":"2026-05-18T02:02:15.647185+00:00"},{"alias_kind":"pith_short_12","alias_value":"SDK5RLXSLABC","created_at":"2026-05-18T12:26:41.206345+00:00"},{"alias_kind":"pith_short_16","alias_value":"SDK5RLXSLABCR3JU","created_at":"2026-05-18T12:26:41.206345+00:00"},{"alias_kind":"pith_short_8","alias_value":"SDK5RLXS","created_at":"2026-05-18T12:26:41.206345+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/SDK5RLXSLABCR3JUNXVKOM6WNQ","json":"https://pith.science/pith/SDK5RLXSLABCR3JUNXVKOM6WNQ.json","graph_json":"https://pith.science/api/pith-number/SDK5RLXSLABCR3JUNXVKOM6WNQ/graph.json","events_json":"https://pith.science/api/pith-number/SDK5RLXSLABCR3JUNXVKOM6WNQ/events.json","paper":"https://pith.science/paper/SDK5RLXS"},"agent_actions":{"view_html":"https://pith.science/pith/SDK5RLXSLABCR3JUNXVKOM6WNQ","download_json":"https://pith.science/pith/SDK5RLXSLABCR3JUNXVKOM6WNQ.json","view_paper":"https://pith.science/paper/SDK5RLXS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1104.4639&json=true","fetch_graph":"https://pith.science/api/pith-number/SDK5RLXSLABCR3JUNXVKOM6WNQ/graph.json","fetch_events":"https://pith.science/api/pith-number/SDK5RLXSLABCR3JUNXVKOM6WNQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SDK5RLXSLABCR3JUNXVKOM6WNQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SDK5RLXSLABCR3JUNXVKOM6WNQ/action/storage_attestation","attest_author":"https://pith.science/pith/SDK5RLXSLABCR3JUNXVKOM6WNQ/action/author_attestation","sign_citation":"https://pith.science/pith/SDK5RLXSLABCR3JUNXVKOM6WNQ/action/citation_signature","submit_replication":"https://pith.science/pith/SDK5RLXSLABCR3JUNXVKOM6WNQ/action/replication_record"}},"created_at":"2026-05-18T02:02:15.647185+00:00","updated_at":"2026-05-18T02:02:15.647185+00:00"}