{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:JMVXR5JKDQ2L5R4ERQ62SZPZZX","short_pith_number":"pith:JMVXR5JK","schema_version":"1.0","canonical_sha256":"4b2b78f52a1c34bec7848c3da965f9cdc4b6811e86f55dc6871b0e2e3e11dbcf","source":{"kind":"arxiv","id":"2310.03061","version":4},"attestation_state":"computed","paper":{"title":"Entanglement transitions induced by quantum-data collection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech","hep-th"],"primary_cat":"quant-ph","authors_text":"Jamir Marino, Shane P. Kelly","submitted_at":"2023-10-04T18:00:00Z","abstract_excerpt":"We present an entanglement transition in an array of qubits, induced by the transfer of quantum information from a system to a quantum computer. This quantum-data collection is an essential protocol in quantum machine learning algorithms that promise exponential advantage over their classical counterparts. In this and an accompanying work [Phys. Rev. A 111, 012425 (2025)], we identify sufficient conditions for an entanglement transition to occur in the late time state of the system and quantum computer. In this letter, we present an example entanglement transition occurring in a system compris"},"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":"2310.03061","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"quant-ph","submitted_at":"2023-10-04T18:00:00Z","cross_cats_sorted":["cond-mat.dis-nn","cond-mat.stat-mech","hep-th"],"title_canon_sha256":"2babf4318f9adaacccbb51555392588c502766e9ebe5dc9a829e3d394d756bd2","abstract_canon_sha256":"c5ab1bfa6d258a4bf5f9d7785da6a7f9c1182a80368c4aca6a30ba588b240200"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:00.764504Z","signature_b64":"q/LvHB4X+Itv8mh94wJlXdSe6nQaWOaqVOHZeXoJg6NCzwpHoVOs0owOHDAS3UlZisvaUXgbnMj9qIxSqeBFCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b2b78f52a1c34bec7848c3da965f9cdc4b6811e86f55dc6871b0e2e3e11dbcf","last_reissued_at":"2026-07-05T10:02:00.764079Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:00.764079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Entanglement transitions induced by quantum-data collection","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cond-mat.dis-nn","cond-mat.stat-mech","hep-th"],"primary_cat":"quant-ph","authors_text":"Jamir Marino, Shane P. Kelly","submitted_at":"2023-10-04T18:00:00Z","abstract_excerpt":"We present an entanglement transition in an array of qubits, induced by the transfer of quantum information from a system to a quantum computer. This quantum-data collection is an essential protocol in quantum machine learning algorithms that promise exponential advantage over their classical counterparts. In this and an accompanying work [Phys. Rev. A 111, 012425 (2025)], we identify sufficient conditions for an entanglement transition to occur in the late time state of the system and quantum computer. In this letter, we present an example entanglement transition occurring in a system compris"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.03061","kind":"arxiv","version":4},"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/2310.03061/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":"2310.03061","created_at":"2026-07-05T10:02:00.764135+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.03061v4","created_at":"2026-07-05T10:02:00.764135+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.03061","created_at":"2026-07-05T10:02:00.764135+00:00"},{"alias_kind":"pith_short_12","alias_value":"JMVXR5JKDQ2L","created_at":"2026-07-05T10:02:00.764135+00:00"},{"alias_kind":"pith_short_16","alias_value":"JMVXR5JKDQ2L5R4E","created_at":"2026-07-05T10:02:00.764135+00:00"},{"alias_kind":"pith_short_8","alias_value":"JMVXR5JK","created_at":"2026-07-05T10:02:00.764135+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.27628","citing_title":"Intelligence as Managed Autonomy: Failure, Escalation, and Governance for Agentic AI Systems","ref_index":38,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX","json":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX.json","graph_json":"https://pith.science/api/pith-number/JMVXR5JKDQ2L5R4ERQ62SZPZZX/graph.json","events_json":"https://pith.science/api/pith-number/JMVXR5JKDQ2L5R4ERQ62SZPZZX/events.json","paper":"https://pith.science/paper/JMVXR5JK"},"agent_actions":{"view_html":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX","download_json":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX.json","view_paper":"https://pith.science/paper/JMVXR5JK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.03061&json=true","fetch_graph":"https://pith.science/api/pith-number/JMVXR5JKDQ2L5R4ERQ62SZPZZX/graph.json","fetch_events":"https://pith.science/api/pith-number/JMVXR5JKDQ2L5R4ERQ62SZPZZX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX/action/storage_attestation","attest_author":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX/action/author_attestation","sign_citation":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX/action/citation_signature","submit_replication":"https://pith.science/pith/JMVXR5JKDQ2L5R4ERQ62SZPZZX/action/replication_record"}},"created_at":"2026-07-05T10:02:00.764135+00:00","updated_at":"2026-07-05T10:02:00.764135+00:00"}