{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:MANAHGLW36WL364EJRIDOFK273","short_pith_number":"pith:MANAHGLW","schema_version":"1.0","canonical_sha256":"601a039976dfacbdfb844c5037155afec5ae772470a715ccf7939c5b8ed1da01","source":{"kind":"arxiv","id":"2408.08556","version":2},"attestation_state":"computed","paper":{"title":"Quantum random power method for ground state computation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NA","math.NA"],"primary_cat":"quant-ph","authors_text":"Hyowon Park, Sangkook Choi, Taehee Ko","submitted_at":"2024-08-16T06:41:16Z","abstract_excerpt":"We present a quantum-classical hybrid random power method that approximates a ground state of a Hamiltonian. The quantum part of our method computes a fixed number of elements of a Hamiltonian-matrix polynomial via quantum polynomial filtering techniques with either Hamiltonian simulation or block encoding. The use of the techniques provides a computational advantage that may not be achieved classically in terms of the degree of the polynomial. The classical part of our method is a randomized iterative algorithm that takes as input the matrix elements computed from the quantum part and outputs"},"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":"2408.08556","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-08-16T06:41:16Z","cross_cats_sorted":["cs.NA","math.NA"],"title_canon_sha256":"69b8d8d4dcbce76a81d6c228c7401d55c35d4662abc227ae7ed3481bc5526ee5","abstract_canon_sha256":"1816548a52f01722386ce7638324684ff458265a78ed7ca86f5757b43140f5a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:49:46.012540Z","signature_b64":"BBmHUB05eYwjMVHjq1aelA6L1GFZ21T3iDgqH/ci3Uo161bj/De9PKLgcvnoEJqXDO1Ux+CwA26zaMpzUYVVDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"601a039976dfacbdfb844c5037155afec5ae772470a715ccf7939c5b8ed1da01","last_reissued_at":"2026-07-05T10:49:46.012070Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:49:46.012070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quantum random power method for ground state computation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NA","math.NA"],"primary_cat":"quant-ph","authors_text":"Hyowon Park, Sangkook Choi, Taehee Ko","submitted_at":"2024-08-16T06:41:16Z","abstract_excerpt":"We present a quantum-classical hybrid random power method that approximates a ground state of a Hamiltonian. The quantum part of our method computes a fixed number of elements of a Hamiltonian-matrix polynomial via quantum polynomial filtering techniques with either Hamiltonian simulation or block encoding. The use of the techniques provides a computational advantage that may not be achieved classically in terms of the degree of the polynomial. The classical part of our method is a randomized iterative algorithm that takes as input the matrix elements computed from the quantum part and outputs"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08556","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2408.08556/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":"2408.08556","created_at":"2026-07-05T10:49:46.012128+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.08556v2","created_at":"2026-07-05T10:49:46.012128+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08556","created_at":"2026-07-05T10:49:46.012128+00:00"},{"alias_kind":"pith_short_12","alias_value":"MANAHGLW36WL","created_at":"2026-07-05T10:49:46.012128+00:00"},{"alias_kind":"pith_short_16","alias_value":"MANAHGLW36WL364E","created_at":"2026-07-05T10:49:46.012128+00:00"},{"alias_kind":"pith_short_8","alias_value":"MANAHGLW","created_at":"2026-07-05T10:49:46.012128+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.17883","citing_title":"Classical optimization algorithms for diagonalizing quantum Hamiltonians","ref_index":21,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273","json":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273.json","graph_json":"https://pith.science/api/pith-number/MANAHGLW36WL364EJRIDOFK273/graph.json","events_json":"https://pith.science/api/pith-number/MANAHGLW36WL364EJRIDOFK273/events.json","paper":"https://pith.science/paper/MANAHGLW"},"agent_actions":{"view_html":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273","download_json":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273.json","view_paper":"https://pith.science/paper/MANAHGLW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.08556&json=true","fetch_graph":"https://pith.science/api/pith-number/MANAHGLW36WL364EJRIDOFK273/graph.json","fetch_events":"https://pith.science/api/pith-number/MANAHGLW36WL364EJRIDOFK273/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273/action/storage_attestation","attest_author":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273/action/author_attestation","sign_citation":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273/action/citation_signature","submit_replication":"https://pith.science/pith/MANAHGLW36WL364EJRIDOFK273/action/replication_record"}},"created_at":"2026-07-05T10:49:46.012128+00:00","updated_at":"2026-07-05T10:49:46.012128+00:00"}