{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FXEMMPBNB6FGCKCQBLEXAKYGOI","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"10e4497a73eadcb5439cad3433c5bf9e8b0f98eeff4c672b3780e32c29debc2c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2024-12-15T20:54:31Z","title_canon_sha256":"4284e9d6153add2446fcfed488ac347e110482db785795ce8f094180e250aaf4"},"schema_version":"1.0","source":{"id":"2412.11307","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11307","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11307v1","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11307","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"pith_short_12","alias_value":"FXEMMPBNB6FG","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"pith_short_16","alias_value":"FXEMMPBNB6FGCKCQ","created_at":"2026-07-05T09:49:30Z"},{"alias_kind":"pith_short_8","alias_value":"FXEMMPBN","created_at":"2026-07-05T09:49:30Z"}],"graph_snapshots":[{"event_id":"sha256:d4b70321e8cfab553e89357448111b3ca98a350766ce3ad5f9f5754214260c65","target":"graph","created_at":"2026-07-05T09:49:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.11307/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum Interior Point Methods (QIPMs) have been attracting significant interests recently due to their potential of solving optimization problems substantially faster than state-of-the-art conventional algorithms. In general, QIPMs use Quantum Linear System Algorithms (QLSAs) to substitute classical linear system solvers. However, the performance of QLSAs depends on the condition numbers of the linear systems, which are typically proportional to the square of the reciprocal of the duality gap in QIPMs. To improve conditioning, a preconditioned inexact infeasible QIPM (II-QIPM) based on optima","authors_text":"Tam\\'as Terlaky, Xiu Yang, Zeguan Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2024-12-15T20:54:31Z","title":"A preconditioned inexact infeasible quantum interior point method for linear optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11307","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:37a3292bd204cd85cfcfa1c67ac00f464615d3ce59a720d6b3c617f8f72984b7","target":"record","created_at":"2026-07-05T09:49:30Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"10e4497a73eadcb5439cad3433c5bf9e8b0f98eeff4c672b3780e32c29debc2c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2024-12-15T20:54:31Z","title_canon_sha256":"4284e9d6153add2446fcfed488ac347e110482db785795ce8f094180e250aaf4"},"schema_version":"1.0","source":{"id":"2412.11307","kind":"arxiv","version":1}},"canonical_sha256":"2dc8c63c2d0f8a6128500ac9702b067232607cac0c45ff9e334af9241049912e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2dc8c63c2d0f8a6128500ac9702b067232607cac0c45ff9e334af9241049912e","first_computed_at":"2026-07-05T09:49:30.385244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:30.385244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8MshlzmW6zHke/pBfd5Y0v+niODBgwYVQKPkTOVIpSisT9OTReZq5v8f4JbUcz44pI8QPbRSbAQ0XiiNkod8Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:30.385680Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.11307","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37a3292bd204cd85cfcfa1c67ac00f464615d3ce59a720d6b3c617f8f72984b7","sha256:d4b70321e8cfab553e89357448111b3ca98a350766ce3ad5f9f5754214260c65"],"state_sha256":"0ea172c6ad10f1bf1441edab6a75c60558d105861836c17c03aae86587b51b90"}