{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:OWMC66VCR76H4FUHAKD5HXXD3B","short_pith_number":"pith:OWMC66VC","schema_version":"1.0","canonical_sha256":"75982f7aa28ffc7e16870287d3dee3d842678c346ea4438f2dbb0f3063bf4805","source":{"kind":"arxiv","id":"1305.0036","version":2},"attestation_state":"computed","paper":{"title":"GPU accelerated Trotter-Suzuki solver for quantum spin dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["quant-ph"],"primary_cat":"physics.comp-ph","authors_text":"Axel D. Dente, Carlos S. Bederi\\'an, Horacio M. Pastawski, Pablo R. Zangara","submitted_at":"2013-04-30T21:59:16Z","abstract_excerpt":"The resolution of dynamics in out of equilibrium quantum spin systems lies at the heart of fundamental questions among Quantum Information Processing, Statistical Mechanics and Nano-Technologies. Efficient computational simulations of interacting many-spin systems are extremely valuable tools for tackling such questions. Here, we use the Trotter-Suzuki (TS) algorithm, a well-known strategy that provides the evolution of quantum systems, to address the spin dynamics. We present a GPU implementation of a particular TS version, which has been previously implemented on single cores in CPUs. We dev"},"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":"1305.0036","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.comp-ph","submitted_at":"2013-04-30T21:59:16Z","cross_cats_sorted":["quant-ph"],"title_canon_sha256":"1300b939c47a375ecbb28db500ea2814fe98c02ced35c4dc913e60d625b06c58","abstract_canon_sha256":"c5302c11302b3eca15929a8b2dc721ca58965d7ada1243babcdaa3a89f4e22c2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:26.092956Z","signature_b64":"DLSK9BtWmX5EzwZLqLKmAeMpDrLdSCbHAtB7jU5wNsjZz3CrDnkeuoqP3pUraMtoAQMLsH1oDZvD0lHMnlZXAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"75982f7aa28ffc7e16870287d3dee3d842678c346ea4438f2dbb0f3063bf4805","last_reissued_at":"2026-05-18T03:05:26.092461Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:26.092461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"GPU accelerated Trotter-Suzuki solver for quantum spin dynamics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["quant-ph"],"primary_cat":"physics.comp-ph","authors_text":"Axel D. Dente, Carlos S. Bederi\\'an, Horacio M. Pastawski, Pablo R. Zangara","submitted_at":"2013-04-30T21:59:16Z","abstract_excerpt":"The resolution of dynamics in out of equilibrium quantum spin systems lies at the heart of fundamental questions among Quantum Information Processing, Statistical Mechanics and Nano-Technologies. Efficient computational simulations of interacting many-spin systems are extremely valuable tools for tackling such questions. Here, we use the Trotter-Suzuki (TS) algorithm, a well-known strategy that provides the evolution of quantum systems, to address the spin dynamics. We present a GPU implementation of a particular TS version, which has been previously implemented on single cores in CPUs. We dev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1305.0036","kind":"arxiv","version":2},"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":"1305.0036","created_at":"2026-05-18T03:05:26.092547+00:00"},{"alias_kind":"arxiv_version","alias_value":"1305.0036v2","created_at":"2026-05-18T03:05:26.092547+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1305.0036","created_at":"2026-05-18T03:05:26.092547+00:00"},{"alias_kind":"pith_short_12","alias_value":"OWMC66VCR76H","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_16","alias_value":"OWMC66VCR76H4FUH","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_8","alias_value":"OWMC66VC","created_at":"2026-05-18T12:27:54.935989+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/OWMC66VCR76H4FUHAKD5HXXD3B","json":"https://pith.science/pith/OWMC66VCR76H4FUHAKD5HXXD3B.json","graph_json":"https://pith.science/api/pith-number/OWMC66VCR76H4FUHAKD5HXXD3B/graph.json","events_json":"https://pith.science/api/pith-number/OWMC66VCR76H4FUHAKD5HXXD3B/events.json","paper":"https://pith.science/paper/OWMC66VC"},"agent_actions":{"view_html":"https://pith.science/pith/OWMC66VCR76H4FUHAKD5HXXD3B","download_json":"https://pith.science/pith/OWMC66VCR76H4FUHAKD5HXXD3B.json","view_paper":"https://pith.science/paper/OWMC66VC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1305.0036&json=true","fetch_graph":"https://pith.science/api/pith-number/OWMC66VCR76H4FUHAKD5HXXD3B/graph.json","fetch_events":"https://pith.science/api/pith-number/OWMC66VCR76H4FUHAKD5HXXD3B/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OWMC66VCR76H4FUHAKD5HXXD3B/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OWMC66VCR76H4FUHAKD5HXXD3B/action/storage_attestation","attest_author":"https://pith.science/pith/OWMC66VCR76H4FUHAKD5HXXD3B/action/author_attestation","sign_citation":"https://pith.science/pith/OWMC66VCR76H4FUHAKD5HXXD3B/action/citation_signature","submit_replication":"https://pith.science/pith/OWMC66VCR76H4FUHAKD5HXXD3B/action/replication_record"}},"created_at":"2026-05-18T03:05:26.092547+00:00","updated_at":"2026-05-18T03:05:26.092547+00:00"}