{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:WCJRQ2SEPXMYIDEQON6U7VQTZM","short_pith_number":"pith:WCJRQ2SE","schema_version":"1.0","canonical_sha256":"b093186a447dd9840c90737d4fd613cb0582a65f84214bc38f7db89ce0489563","source":{"kind":"arxiv","id":"1303.6580","version":1},"attestation_state":"computed","paper":{"title":"Coarse-Graining Can Beat the Rotating Wave Approximation in Quantum Markovian Master Equations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Christian Majenz, Daniel A. Lidar, Heinz-Peter Breuer, Tameem Albash","submitted_at":"2013-03-26T18:08:58Z","abstract_excerpt":"We present a first-principles derivation of the Markovian semi-group master equation without invoking the rotating wave approximation (RWA). Instead we use a time coarse-graining approach which leaves us with a free timescale parameter, which we can optimize. Comparing this approach to the standard RWA-based Markovian master equation, we find that significantly better agreement is possible using the coarse-graining approach, for a three-level model coupled to a bath of oscillators, whose exact dynamics we can solve for at zero temperature. The model has the important feature that the RWA has a"},"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":"1303.6580","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2013-03-26T18:08:58Z","cross_cats_sorted":[],"title_canon_sha256":"afb4a2c3c9a0bab71ed4fe25578cc3b35707f0e1ce3ee5970d010de3da953cc9","abstract_canon_sha256":"ee8de4f56a9bfe9a5bf7f4dfa0f713868b5e18ccf9a6f3b8fca7e2b306ea9e38"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:19:04.226696Z","signature_b64":"LV7GYcoOO4sFGQG7KF4DrVYl4srBb3unlpA+X47VwosBKKulA2sRzyffnlGjPfZNFBYr/qMc91wRSzCpDUn+AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b093186a447dd9840c90737d4fd613cb0582a65f84214bc38f7db89ce0489563","last_reissued_at":"2026-05-18T03:19:04.225888Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:19:04.225888Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Coarse-Graining Can Beat the Rotating Wave Approximation in Quantum Markovian Master Equations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Christian Majenz, Daniel A. Lidar, Heinz-Peter Breuer, Tameem Albash","submitted_at":"2013-03-26T18:08:58Z","abstract_excerpt":"We present a first-principles derivation of the Markovian semi-group master equation without invoking the rotating wave approximation (RWA). Instead we use a time coarse-graining approach which leaves us with a free timescale parameter, which we can optimize. Comparing this approach to the standard RWA-based Markovian master equation, we find that significantly better agreement is possible using the coarse-graining approach, for a three-level model coupled to a bath of oscillators, whose exact dynamics we can solve for at zero temperature. The model has the important feature that the RWA has a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.6580","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":"1303.6580","created_at":"2026-05-18T03:19:04.226016+00:00"},{"alias_kind":"arxiv_version","alias_value":"1303.6580v1","created_at":"2026-05-18T03:19:04.226016+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.6580","created_at":"2026-05-18T03:19:04.226016+00:00"},{"alias_kind":"pith_short_12","alias_value":"WCJRQ2SEPXMY","created_at":"2026-05-18T12:28:04.890932+00:00"},{"alias_kind":"pith_short_16","alias_value":"WCJRQ2SEPXMYIDEQ","created_at":"2026-05-18T12:28:04.890932+00:00"},{"alias_kind":"pith_short_8","alias_value":"WCJRQ2SE","created_at":"2026-05-18T12:28:04.890932+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/WCJRQ2SEPXMYIDEQON6U7VQTZM","json":"https://pith.science/pith/WCJRQ2SEPXMYIDEQON6U7VQTZM.json","graph_json":"https://pith.science/api/pith-number/WCJRQ2SEPXMYIDEQON6U7VQTZM/graph.json","events_json":"https://pith.science/api/pith-number/WCJRQ2SEPXMYIDEQON6U7VQTZM/events.json","paper":"https://pith.science/paper/WCJRQ2SE"},"agent_actions":{"view_html":"https://pith.science/pith/WCJRQ2SEPXMYIDEQON6U7VQTZM","download_json":"https://pith.science/pith/WCJRQ2SEPXMYIDEQON6U7VQTZM.json","view_paper":"https://pith.science/paper/WCJRQ2SE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1303.6580&json=true","fetch_graph":"https://pith.science/api/pith-number/WCJRQ2SEPXMYIDEQON6U7VQTZM/graph.json","fetch_events":"https://pith.science/api/pith-number/WCJRQ2SEPXMYIDEQON6U7VQTZM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WCJRQ2SEPXMYIDEQON6U7VQTZM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WCJRQ2SEPXMYIDEQON6U7VQTZM/action/storage_attestation","attest_author":"https://pith.science/pith/WCJRQ2SEPXMYIDEQON6U7VQTZM/action/author_attestation","sign_citation":"https://pith.science/pith/WCJRQ2SEPXMYIDEQON6U7VQTZM/action/citation_signature","submit_replication":"https://pith.science/pith/WCJRQ2SEPXMYIDEQON6U7VQTZM/action/replication_record"}},"created_at":"2026-05-18T03:19:04.226016+00:00","updated_at":"2026-05-18T03:19:04.226016+00:00"}