{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4AU3H7AEU3UCXXREA7ZPOWVUVK","short_pith_number":"pith:4AU3H7AE","schema_version":"1.0","canonical_sha256":"e029b3fc04a6e82bde2407f2f75ab4aab3b0e560934636635ae781f2471434d5","source":{"kind":"arxiv","id":"2605.28723","version":1},"attestation_state":"computed","paper":{"title":"Variational Quantum Models for Knowledge Graph Embeddings on NISQ Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Guido Bellomo, Gustavo Mart\\'in Bosyk, Mart\\'in Santesteban, Patricio Bruno, Santiago Cifuentes","submitted_at":"2026-05-27T16:40:27Z","abstract_excerpt":"Variational Quantum Algorithms (VQAs) combine quantum circuits with classical optimization to tackle problems that may benefit from the capabilities of near-term quantum hardware. In knowledge graph embedding, recent proposals based on this approach follow a similar overall architecture but differ in the way they compute the score function and in the number of qubits they require. One design uses $n+1$ qubits and obtains the score through a switch test on an ancillary qubit, while another employs $2n+1$ qubits and applies a swap test between two registers. In both cases, entities and relations"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.28723","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-05-27T16:40:27Z","cross_cats_sorted":[],"title_canon_sha256":"bd296f9bd6ceefa5c98e9bf7553910d6fa8e6f5e7fbd534c3ab9ff5c75a6c531","abstract_canon_sha256":"e170602277d938a2c610fc93e8b404989ccbf689f3ba31c0e06cc9ee5b094745"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T02:05:01.166722Z","signature_b64":"cJVtK9kg8hBsklx2TRiyTARn0mptrfxmucyA+nMouSotlGxcmGz0SrFOd1lFk9vvN+zJlLJ5N+hHU/HO5lndCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e029b3fc04a6e82bde2407f2f75ab4aab3b0e560934636635ae781f2471434d5","last_reissued_at":"2026-05-28T02:05:01.166275Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T02:05:01.166275Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Variational Quantum Models for Knowledge Graph Embeddings on NISQ Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Guido Bellomo, Gustavo Mart\\'in Bosyk, Mart\\'in Santesteban, Patricio Bruno, Santiago Cifuentes","submitted_at":"2026-05-27T16:40:27Z","abstract_excerpt":"Variational Quantum Algorithms (VQAs) combine quantum circuits with classical optimization to tackle problems that may benefit from the capabilities of near-term quantum hardware. In knowledge graph embedding, recent proposals based on this approach follow a similar overall architecture but differ in the way they compute the score function and in the number of qubits they require. One design uses $n+1$ qubits and obtains the score through a switch test on an ancillary qubit, while another employs $2n+1$ qubits and applies a swap test between two registers. In both cases, entities and relations"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28723","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.28723/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.28723","created_at":"2026-05-28T02:05:01.166340+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.28723v1","created_at":"2026-05-28T02:05:01.166340+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28723","created_at":"2026-05-28T02:05:01.166340+00:00"},{"alias_kind":"pith_short_12","alias_value":"4AU3H7AEU3UC","created_at":"2026-05-28T02:05:01.166340+00:00"},{"alias_kind":"pith_short_16","alias_value":"4AU3H7AEU3UCXXRE","created_at":"2026-05-28T02:05:01.166340+00:00"},{"alias_kind":"pith_short_8","alias_value":"4AU3H7AE","created_at":"2026-05-28T02:05:01.166340+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK","json":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK.json","graph_json":"https://pith.science/api/pith-number/4AU3H7AEU3UCXXREA7ZPOWVUVK/graph.json","events_json":"https://pith.science/api/pith-number/4AU3H7AEU3UCXXREA7ZPOWVUVK/events.json","paper":"https://pith.science/paper/4AU3H7AE"},"agent_actions":{"view_html":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK","download_json":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK.json","view_paper":"https://pith.science/paper/4AU3H7AE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.28723&json=true","fetch_graph":"https://pith.science/api/pith-number/4AU3H7AEU3UCXXREA7ZPOWVUVK/graph.json","fetch_events":"https://pith.science/api/pith-number/4AU3H7AEU3UCXXREA7ZPOWVUVK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK/action/storage_attestation","attest_author":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK/action/author_attestation","sign_citation":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK/action/citation_signature","submit_replication":"https://pith.science/pith/4AU3H7AEU3UCXXREA7ZPOWVUVK/action/replication_record"}},"created_at":"2026-05-28T02:05:01.166340+00:00","updated_at":"2026-05-28T02:05:01.166340+00:00"}