{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:YEFIPXWZFEZ7BEY4DWOP3GSKDR","short_pith_number":"pith:YEFIPXWZ","schema_version":"1.0","canonical_sha256":"c10a87ded92933f0931c1d9cfd9a4a1c7d3e0e1696f9ba6b32304419015130a2","source":{"kind":"arxiv","id":"2206.06409","version":3},"attestation_state":"computed","paper":{"title":"Composite Quantum Simulations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Matthew Hagan, Nathan Wiebe","submitted_at":"2022-06-13T18:31:17Z","abstract_excerpt":"In this paper we provide a framework for combining multiple quantum simulation methods, such as Trotter-Suzuki formulas and QDrift into a single Composite channel that builds upon older coalescing ideas for reducing gate counts. The central idea behind our approach is to use a partitioning scheme that allocates a Hamiltonian term to the Trotter or QDrift part of a channel within the simulation. This allows us to simulate small but numerous terms using QDrift while simulating the larger terms using a high-order Trotter-Suzuki formula. We prove rigorous bounds on the diamond distance between the"},"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":"2206.06409","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2022-06-13T18:31:17Z","cross_cats_sorted":[],"title_canon_sha256":"7f72bee7677dc79ed144b5de818444b7369e7f80c4bf34099414f5c028db1c22","abstract_canon_sha256":"8d9e59daa47bc4941f3d2f6edb2401b6c59363dee6a80b33064340b1b84038fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:12:32.294019Z","signature_b64":"NjnSJoGMIMrVRwmOetloxEaCCWCo0Fdr9WDkzKSv0gpBkj4ZNPqGqlsSEtiKPEIi68I6ZXPvjVEdi6lSWyOUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c10a87ded92933f0931c1d9cfd9a4a1c7d3e0e1696f9ba6b32304419015130a2","last_reissued_at":"2026-07-05T07:12:32.293564Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:12:32.293564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Composite Quantum Simulations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Matthew Hagan, Nathan Wiebe","submitted_at":"2022-06-13T18:31:17Z","abstract_excerpt":"In this paper we provide a framework for combining multiple quantum simulation methods, such as Trotter-Suzuki formulas and QDrift into a single Composite channel that builds upon older coalescing ideas for reducing gate counts. The central idea behind our approach is to use a partitioning scheme that allocates a Hamiltonian term to the Trotter or QDrift part of a channel within the simulation. This allows us to simulate small but numerous terms using QDrift while simulating the larger terms using a high-order Trotter-Suzuki formula. We prove rigorous bounds on the diamond distance between the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.06409","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/2206.06409/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":"2206.06409","created_at":"2026-07-05T07:12:32.293621+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.06409v3","created_at":"2026-07-05T07:12:32.293621+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.06409","created_at":"2026-07-05T07:12:32.293621+00:00"},{"alias_kind":"pith_short_12","alias_value":"YEFIPXWZFEZ7","created_at":"2026-07-05T07:12:32.293621+00:00"},{"alias_kind":"pith_short_16","alias_value":"YEFIPXWZFEZ7BEY4","created_at":"2026-07-05T07:12:32.293621+00:00"},{"alias_kind":"pith_short_8","alias_value":"YEFIPXWZ","created_at":"2026-07-05T07:12:32.293621+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.29741","citing_title":"Unbiased Hamiltonian Simulation by Reversing Trotter Error Dynamics","ref_index":41,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR","json":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR.json","graph_json":"https://pith.science/api/pith-number/YEFIPXWZFEZ7BEY4DWOP3GSKDR/graph.json","events_json":"https://pith.science/api/pith-number/YEFIPXWZFEZ7BEY4DWOP3GSKDR/events.json","paper":"https://pith.science/paper/YEFIPXWZ"},"agent_actions":{"view_html":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR","download_json":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR.json","view_paper":"https://pith.science/paper/YEFIPXWZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.06409&json=true","fetch_graph":"https://pith.science/api/pith-number/YEFIPXWZFEZ7BEY4DWOP3GSKDR/graph.json","fetch_events":"https://pith.science/api/pith-number/YEFIPXWZFEZ7BEY4DWOP3GSKDR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR/action/storage_attestation","attest_author":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR/action/author_attestation","sign_citation":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR/action/citation_signature","submit_replication":"https://pith.science/pith/YEFIPXWZFEZ7BEY4DWOP3GSKDR/action/replication_record"}},"created_at":"2026-07-05T07:12:32.293621+00:00","updated_at":"2026-07-05T07:12:32.293621+00:00"}