{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LUIXWCK7OFTW6G3CDWQS6R7VWC","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":"6cd158d19cb000d734e12d5a371863874251f8ef0c9228bf14fdabb0cea6aa18","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-04-01T11:10:00Z","title_canon_sha256":"9ca06826f377f42a11b9e2499fb31aee306da18aea6e400d01b727cb8b5831db"},"schema_version":"1.0","source":{"id":"1804.00281","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00281","created_at":"2026-07-04T23:51:17Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00281v2","created_at":"2026-07-04T23:51:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00281","created_at":"2026-07-04T23:51:17Z"},{"alias_kind":"pith_short_12","alias_value":"LUIXWCK7OFTW","created_at":"2026-07-04T23:51:17Z"},{"alias_kind":"pith_short_16","alias_value":"LUIXWCK7OFTW6G3C","created_at":"2026-07-04T23:51:17Z"},{"alias_kind":"pith_short_8","alias_value":"LUIXWCK7","created_at":"2026-07-04T23:51:17Z"}],"graph_snapshots":[{"event_id":"sha256:6ec8d730c35d69db4a56c03ad093cc5e5b301ee18b49d19849d0e7d0e9a61a9a","target":"graph","created_at":"2026-07-04T23:51:17Z","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/1804.00281/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning has recently emerged as a fruitful area for finding potential quantum computational advantage. Many of the quantum enhanced machine learning algorithms critically hinge upon the ability to efficiently produce states proportional to high-dimensional data points stored in a quantum accessible memory. Even given query access to exponentially many entries stored in a database, the construction of which is considered a one-off overhead, it has been argued that the cost of preparing such amplitude-encoded states may offset any exponential quantum advantage. Here we prove using smoot","authors_text":"Jack K. Fitzsimons, Joseph F. Fitzsimons, Patrick Rebentrost, Vedran Dunjko, Zhikuan Zhao","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-04-01T11:10:00Z","title":"Smooth input preparation for quantum and quantum-inspired machine learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00281","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":"sha256:8d9f3ada4877e148b403b76ca71b5123dbc24c2e85042a341daae89a10eb167a","target":"record","created_at":"2026-07-04T23:51:17Z","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":"6cd158d19cb000d734e12d5a371863874251f8ef0c9228bf14fdabb0cea6aa18","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-04-01T11:10:00Z","title_canon_sha256":"9ca06826f377f42a11b9e2499fb31aee306da18aea6e400d01b727cb8b5831db"},"schema_version":"1.0","source":{"id":"1804.00281","kind":"arxiv","version":2}},"canonical_sha256":"5d117b095f71676f1b621da12f47f5b0b1d1a5da83520a1308559ecfc968ebaf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d117b095f71676f1b621da12f47f5b0b1d1a5da83520a1308559ecfc968ebaf","first_computed_at":"2026-07-04T23:51:17.927034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:51:17.927034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a+n0DGCgN4f5eyvLdADNJC9uNbUlbm2zCzyDSx2qhOkhkJgD3FIia5pyi5BaEqrlX9kbVjeJQpxJG4WKD8PcBw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:51:17.927496Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.00281","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d9f3ada4877e148b403b76ca71b5123dbc24c2e85042a341daae89a10eb167a","sha256:6ec8d730c35d69db4a56c03ad093cc5e5b301ee18b49d19849d0e7d0e9a61a9a"],"state_sha256":"cf1a0b01b0369dab83e9d5d46e44e7e6b88b09fa499eeefd39418b24d21dbc35"}