{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EVO5QLBVEODYL7DIAV4GZIYF5W","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":"10430dfbb27f2394372823c18968ed0570aca949e5f860fc32fab20b099eb055","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-12-18T11:52:44Z","title_canon_sha256":"12e32a2c3d112c574b83229aacbc04cb4372b5fec9551c38bb4c220e4c9032f8"},"schema_version":"1.0","source":{"id":"2312.11126","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11126","created_at":"2026-07-05T07:53:13Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11126v2","created_at":"2026-07-05T07:53:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11126","created_at":"2026-07-05T07:53:13Z"},{"alias_kind":"pith_short_12","alias_value":"EVO5QLBVEODY","created_at":"2026-07-05T07:53:13Z"},{"alias_kind":"pith_short_16","alias_value":"EVO5QLBVEODYL7DI","created_at":"2026-07-05T07:53:13Z"},{"alias_kind":"pith_short_8","alias_value":"EVO5QLBV","created_at":"2026-07-05T07:53:13Z"}],"graph_snapshots":[{"event_id":"sha256:fe3990cd61dc07620d8f3262690bdcfa82e75adebf4997894be30b66f810ae8e","target":"graph","created_at":"2026-07-05T07:53:13Z","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/2312.11126/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantum computing revolutionizes the way of solving complex problems and handling vast datasets, which shows great potential to accelerate the machine learning process. However, data leakage in quantum machine learning (QML) may present privacy risks. Although differential privacy (DP), which protects privacy through the injection of artificial noise, is a well-established approach, its application in the QML domain remains under-explored. In this paper, we propose to harness inherent quantum noises to protect data privacy in QML. Especially, considering the Noisy Intermediate-Scale Quantum (N","authors_text":"Baoling Liu, Hui Zhong, Keyi Ju, Miao Pan, Xiaoqi Qin, Xinyue Zhang","cross_cats":["cs.CR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-12-18T11:52:44Z","title":"Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11126","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":"sha256:404a24d99b36abc4631b238748dba95b246fdc8eb7a45e87b4c45fc6a8cc8957","target":"record","created_at":"2026-07-05T07:53:13Z","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":"10430dfbb27f2394372823c18968ed0570aca949e5f860fc32fab20b099eb055","cross_cats_sorted":["cs.CR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-12-18T11:52:44Z","title_canon_sha256":"12e32a2c3d112c574b83229aacbc04cb4372b5fec9551c38bb4c220e4c9032f8"},"schema_version":"1.0","source":{"id":"2312.11126","kind":"arxiv","version":2}},"canonical_sha256":"255dd82c35238785fc6805786ca305ed8010cc8ed664b873aae9c3ae1db3c6c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"255dd82c35238785fc6805786ca305ed8010cc8ed664b873aae9c3ae1db3c6c9","first_computed_at":"2026-07-05T07:53:13.579053Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:53:13.579053Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TqatqERUPKW92UvqCphbgdwmMiP01bq6oLcbiPYH9zzT2QqgYtVq82aqzTa8P2hsSoIMMYPZDmGnbdZX43UhAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:53:13.579531Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11126","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:404a24d99b36abc4631b238748dba95b246fdc8eb7a45e87b4c45fc6a8cc8957","sha256:fe3990cd61dc07620d8f3262690bdcfa82e75adebf4997894be30b66f810ae8e"],"state_sha256":"2139e05febf143b8f86a3445c317229ab7a726c427640bf0a8c821cb8e8bbf97"}