{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ZK3YQLLYGFLKIONEGQTPYP55XS","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":"c3107723ecb4369978376eaf7e80cfca48dc09b0e379a4b26c5fd787ed4d892e","cross_cats_sorted":["cs.LG","hep-lat"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-01-29T14:56:42Z","title_canon_sha256":"dfd8e0c08852794dc9ab46ecd8cd9c01aad8725b68e24f05ba0a82767819b50e"},"schema_version":"1.0","source":{"id":"2501.17689","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.17689","created_at":"2026-07-05T10:08:54Z"},{"alias_kind":"arxiv_version","alias_value":"2501.17689v2","created_at":"2026-07-05T10:08:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.17689","created_at":"2026-07-05T10:08:54Z"},{"alias_kind":"pith_short_12","alias_value":"ZK3YQLLYGFLK","created_at":"2026-07-05T10:08:54Z"},{"alias_kind":"pith_short_16","alias_value":"ZK3YQLLYGFLKIONE","created_at":"2026-07-05T10:08:54Z"},{"alias_kind":"pith_short_8","alias_value":"ZK3YQLLY","created_at":"2026-07-05T10:08:54Z"}],"graph_snapshots":[{"event_id":"sha256:88f0ba5242ec2d8592529fa1cbb8a164ff7a0ef87064531966d973489a29d46c","target":"graph","created_at":"2026-07-05T10:08:54Z","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/2501.17689/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Variational Quantum Eigensolvers (VQEs) are a powerful class of hybrid quantum-classical algorithms designed to approximate the ground state of a quantum system described by its Hamiltonian. VQEs hold promise for various applications, including lattice field theory. However, the inherent noise of Noisy Intermediate-Scale Quantum (NISQ) devices poses a significant challenge for running VQEs as these algorithms are particularly susceptible to noise, e.g., measurement shot noise and hardware noise.\n  In a recent work, it was proposed to enhance the classical optimization of VQEs with Gaussian Pro","authors_text":"Kim A. Nicoli, Lena Funcke, Luca J. Wagner","cross_cats":["cs.LG","hep-lat"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-01-29T14:56:42Z","title":"Machine-Learning-Enhanced Optimization of Noise-Resilient Variational Quantum Eigensolvers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.17689","kind":"arxiv","version":2},"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":"sha256:501b6de1890b652832e524010520ec129129bb99923ef1b819293380781fcf72","target":"record","created_at":"2026-07-05T10:08:54Z","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":"c3107723ecb4369978376eaf7e80cfca48dc09b0e379a4b26c5fd787ed4d892e","cross_cats_sorted":["cs.LG","hep-lat"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-01-29T14:56:42Z","title_canon_sha256":"dfd8e0c08852794dc9ab46ecd8cd9c01aad8725b68e24f05ba0a82767819b50e"},"schema_version":"1.0","source":{"id":"2501.17689","kind":"arxiv","version":2}},"canonical_sha256":"cab7882d783156a439a43426fc3fbdbc93ecfc2e2f7b9ea6269ab2a4ce7d20fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cab7882d783156a439a43426fc3fbdbc93ecfc2e2f7b9ea6269ab2a4ce7d20fb","first_computed_at":"2026-07-05T10:08:54.589113Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:08:54.589113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bDh7kuSf+y2SLZ8NvLD7GpthfiP7aZaAjmSX9cYEHFsd1Nd02ODZO01L8OpCDjzHazG/wrOHhsodnkgd57C5BA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:08:54.589677Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.17689","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:501b6de1890b652832e524010520ec129129bb99923ef1b819293380781fcf72","sha256:88f0ba5242ec2d8592529fa1cbb8a164ff7a0ef87064531966d973489a29d46c"],"state_sha256":"1120496c4a7c0487f8e5db94402b51b256379d0c7a7b149ba352e7bc796da499"}