{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:6UUFHWTBFSPKPUTFTSEO2GDEZF","short_pith_number":"pith:6UUFHWTB","schema_version":"1.0","canonical_sha256":"f52853da612c9ea7d2659c88ed1864c96afebc8c1eee1275778798021d770009","source":{"kind":"arxiv","id":"2409.10273","version":3},"attestation_state":"computed","paper":{"title":"Tracking the variation of entanglement R\\'enyi negativity: a quantum Monte Carlo study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech","quant-ph"],"primary_cat":"cond-mat.str-el","authors_text":"Bin-Bin Mao, Yi-Ming Ding, Yin Tang, Zheng Yan, Zhe Wang, Zhiyan Wang","submitted_at":"2024-09-16T13:34:36Z","abstract_excerpt":"Entanglement entropy has been a powerful tool for analyzing phases and criticality in pure ground states via quantum Monte Carlo (QMC). However, mixed-state entanglement, relevant to systems with dissipation, finite temperature, and disjoint regions, remains less explored due to the lack of efficient numerical methods. In this work, we present a practical and easy-to-implement QMC method within the reweight-annealing framework, enabling efficient computation of the entanglement R\\'enyi negativity (RN) by tracking its variation along given parameter paths. This method is scalable, parallelizabl"},"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":"2409.10273","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.str-el","submitted_at":"2024-09-16T13:34:36Z","cross_cats_sorted":["cond-mat.stat-mech","quant-ph"],"title_canon_sha256":"bf9445f4eb6aad46f480cb08ede756f08df601da193fddc56984f29745320ade","abstract_canon_sha256":"fad35c7b4e275a05479802c3d79871e1945b9bc40b35d779b54bfc54963b324a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:35.777646Z","signature_b64":"hinZpgdwwnYqN6R2Wlb/zrg8dv1gK7iOaE+PPxCPanHZWY/eRF9MCjg0Tgie4qnSKFTEP3VssRFWQuJRxQRdCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f52853da612c9ea7d2659c88ed1864c96afebc8c1eee1275778798021d770009","last_reissued_at":"2026-07-05T11:21:35.777106Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:35.777106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Tracking the variation of entanglement R\\'enyi negativity: a quantum Monte Carlo study","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech","quant-ph"],"primary_cat":"cond-mat.str-el","authors_text":"Bin-Bin Mao, Yi-Ming Ding, Yin Tang, Zheng Yan, Zhe Wang, Zhiyan Wang","submitted_at":"2024-09-16T13:34:36Z","abstract_excerpt":"Entanglement entropy has been a powerful tool for analyzing phases and criticality in pure ground states via quantum Monte Carlo (QMC). However, mixed-state entanglement, relevant to systems with dissipation, finite temperature, and disjoint regions, remains less explored due to the lack of efficient numerical methods. In this work, we present a practical and easy-to-implement QMC method within the reweight-annealing framework, enabling efficient computation of the entanglement R\\'enyi negativity (RN) by tracking its variation along given parameter paths. This method is scalable, parallelizabl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.10273","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2409.10273/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2409.10273","created_at":"2026-07-05T11:21:35.777173+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.10273v3","created_at":"2026-07-05T11:21:35.777173+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.10273","created_at":"2026-07-05T11:21:35.777173+00:00"},{"alias_kind":"pith_short_12","alias_value":"6UUFHWTBFSPK","created_at":"2026-07-05T11:21:35.777173+00:00"},{"alias_kind":"pith_short_16","alias_value":"6UUFHWTBFSPKPUTF","created_at":"2026-07-05T11:21:35.777173+00:00"},{"alias_kind":"pith_short_8","alias_value":"6UUFHWTB","created_at":"2026-07-05T11:21:35.777173+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.13840","citing_title":"Quantifying mixed-state entanglement via partial transpose and realignment moments","ref_index":27,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF","json":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF.json","graph_json":"https://pith.science/api/pith-number/6UUFHWTBFSPKPUTFTSEO2GDEZF/graph.json","events_json":"https://pith.science/api/pith-number/6UUFHWTBFSPKPUTFTSEO2GDEZF/events.json","paper":"https://pith.science/paper/6UUFHWTB"},"agent_actions":{"view_html":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF","download_json":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF.json","view_paper":"https://pith.science/paper/6UUFHWTB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.10273&json=true","fetch_graph":"https://pith.science/api/pith-number/6UUFHWTBFSPKPUTFTSEO2GDEZF/graph.json","fetch_events":"https://pith.science/api/pith-number/6UUFHWTBFSPKPUTFTSEO2GDEZF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF/action/storage_attestation","attest_author":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF/action/author_attestation","sign_citation":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF/action/citation_signature","submit_replication":"https://pith.science/pith/6UUFHWTBFSPKPUTFTSEO2GDEZF/action/replication_record"}},"created_at":"2026-07-05T11:21:35.777173+00:00","updated_at":"2026-07-05T11:21:35.777173+00:00"}