{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:UUYKB3JAYBCTBNW5XJQFWAIKDK","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":"e95b2dfe9ea513e6fea850d82495bfe45de4af9c4fa918203881bc8acce8c393","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2021-09-02T16:07:02Z","title_canon_sha256":"9abcbd219b9774abb2f7d226345d304666d1e4a05f87dff54b64562441eaec9d"},"schema_version":"1.0","source":{"id":"2109.01051","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.01051","created_at":"2026-07-05T07:55:17Z"},{"alias_kind":"arxiv_version","alias_value":"2109.01051v2","created_at":"2026-07-05T07:55:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.01051","created_at":"2026-07-05T07:55:17Z"},{"alias_kind":"pith_short_12","alias_value":"UUYKB3JAYBCT","created_at":"2026-07-05T07:55:17Z"},{"alias_kind":"pith_short_16","alias_value":"UUYKB3JAYBCTBNW5","created_at":"2026-07-05T07:55:17Z"},{"alias_kind":"pith_short_8","alias_value":"UUYKB3JA","created_at":"2026-07-05T07:55:17Z"}],"graph_snapshots":[{"event_id":"sha256:ed19d7a97e8c23bfc40f70bd395fc9443131bee8de3266e79794140d92fe5c68","target":"graph","created_at":"2026-07-05T07:55:17Z","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/2109.01051/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Variational Quantum Algorithms (VQAs) are often viewed as the best hope for near-term quantum advantage. However, recent studies have shown that noise can severely limit the trainability of VQAs, e.g., by exponentially flattening the cost landscape and suppressing the magnitudes of cost gradients. Error Mitigation (EM) shows promise in reducing the impact of noise on near-term devices. Thus, it is natural to ask whether EM can improve the trainability of VQAs. In this work, we first show that, for a broad class of EM strategies, exponential cost concentration cannot be resolved without committ","authors_text":"Andrew Arrasmith, Lukasz Cincio, M. Cerezo, Patrick J. Coles, Piotr Czarnik, Samson Wang","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2021-09-02T16:07:02Z","title":"Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.01051","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":"sha256:365811e6f190a296af3c14e696cb7a43f2f386b34b4f9ef5b616f547dafd5e00","target":"record","created_at":"2026-07-05T07:55:17Z","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":"e95b2dfe9ea513e6fea850d82495bfe45de4af9c4fa918203881bc8acce8c393","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2021-09-02T16:07:02Z","title_canon_sha256":"9abcbd219b9774abb2f7d226345d304666d1e4a05f87dff54b64562441eaec9d"},"schema_version":"1.0","source":{"id":"2109.01051","kind":"arxiv","version":2}},"canonical_sha256":"a530a0ed20c04530b6ddba605b010a1a9af59c1285f990b21a440249bab0df4b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a530a0ed20c04530b6ddba605b010a1a9af59c1285f990b21a440249bab0df4b","first_computed_at":"2026-07-05T07:55:17.737969Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:55:17.737969Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yq7Mc26QP6M9Ec+SjQnGEhq1gJB5wwMNiIJscuYxLNasYGHDO2kLEHxNOpvXCaNHLAaDbKvUjDjztm7+eyIpDg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:55:17.738494Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.01051","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:365811e6f190a296af3c14e696cb7a43f2f386b34b4f9ef5b616f547dafd5e00","sha256:ed19d7a97e8c23bfc40f70bd395fc9443131bee8de3266e79794140d92fe5c68"],"state_sha256":"084796274d1f6fea499fcdd54bda58185f4de0d43b7d7479cd259cbb11c04a0e"}