{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HFS67KBZF3ZCPOBP5MOXWSOVWN","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":"f27614e16bafa9245ba4cc28d056396068b75b25ac85cf3487df4d3cee72ac49","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-06-21T17:02:29Z","title_canon_sha256":"201f30e1c20dda37cab381d2345697938d9f988b190b15a81ca9626f37ba70f5"},"schema_version":"1.0","source":{"id":"1806.08321","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.08321","created_at":"2026-07-05T00:20:50Z"},{"alias_kind":"arxiv_version","alias_value":"1806.08321v2","created_at":"2026-07-05T00:20:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.08321","created_at":"2026-07-05T00:20:50Z"},{"alias_kind":"pith_short_12","alias_value":"HFS67KBZF3ZC","created_at":"2026-07-05T00:20:50Z"},{"alias_kind":"pith_short_16","alias_value":"HFS67KBZF3ZCPOBP","created_at":"2026-07-05T00:20:50Z"},{"alias_kind":"pith_short_8","alias_value":"HFS67KBZ","created_at":"2026-07-05T00:20:50Z"}],"graph_snapshots":[{"event_id":"sha256:ad40f6e4d9336b007da2291208015b2a34cf6bc902b242911217cd6c406727be","target":"graph","created_at":"2026-07-05T00:20:50Z","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/1806.08321/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Noisy intermediate-scale quantum computing devices are an exciting platform for the exploration of the power of near-term quantum applications. Performing nontrivial tasks in such devices requires a fundamentally different approach than what would be used on an error-corrected quantum computer. One such approach is to use hybrid algorithms, where problems are reduced to a parameterized quantum circuit that is often optimized in a classical feedback loop. Here we describe one such hybrid algorithm for machine learning tasks by building upon the classical algorithm known as random kitchen sinks.","authors_text":"A. M. Polloreno, C. M. Wilson (Rigetti Computing, G. E. Crooks, Institute for Quantum Computing, J. S. Otterbach, M. P. da Silva (Rigetti Computing), M. Sohaib Alam, N. Tezak, Peter J. Karalekas, R. S. Smith, S. Heidel, University of Waterloo)","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-06-21T17:02:29Z","title":"Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.08321","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":"sha256:6a26ccfdbdceabadc13a552e45ce63e13d55a6eddb772686a9eb5210f3b8e603","target":"record","created_at":"2026-07-05T00:20:50Z","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":"f27614e16bafa9245ba4cc28d056396068b75b25ac85cf3487df4d3cee72ac49","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-06-21T17:02:29Z","title_canon_sha256":"201f30e1c20dda37cab381d2345697938d9f988b190b15a81ca9626f37ba70f5"},"schema_version":"1.0","source":{"id":"1806.08321","kind":"arxiv","version":2}},"canonical_sha256":"3965efa8392ef227b82feb1d7b49d5b3675a5bfadeb5327da7bb03106821ca2e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3965efa8392ef227b82feb1d7b49d5b3675a5bfadeb5327da7bb03106821ca2e","first_computed_at":"2026-07-05T00:20:50.518377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:20:50.518377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2OJ7cuyvkwp6sx2SDReXFkezcTMeNTV7lBleldWXQI/vAPsfTuKNn7MqXCG4n10+LOou2wSeCs5I0EuXDZM7Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:20:50.518847Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.08321","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a26ccfdbdceabadc13a552e45ce63e13d55a6eddb772686a9eb5210f3b8e603","sha256:ad40f6e4d9336b007da2291208015b2a34cf6bc902b242911217cd6c406727be"],"state_sha256":"7eed4197509b76750880edcc903977347d4f647a140d10d97a32e09c98eb2c25"}