{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:PA7OWWQUGHWUHRLLD6PR7C4B52","short_pith_number":"pith:PA7OWWQU","schema_version":"1.0","canonical_sha256":"783eeb5a1431ed43c56b1f9f1f8b81ee8dcef0a1992c29a6d14cdbce9c75450f","source":{"kind":"arxiv","id":"2301.05976","version":4},"attestation_state":"computed","paper":{"title":"Quantum Simulations in Effective Model Spaces (I): Hamiltonian Learning-VQE using Digital Quantum Computers and Application to the Lipkin-Meshkov-Glick Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nucl-th"],"primary_cat":"quant-ph","authors_text":"Caroline E. P. Robin, Martin J. Savage","submitted_at":"2023-01-14T21:10:02Z","abstract_excerpt":"The utility of effective model spaces in quantum simulations of non-relativistic quantum many-body systems is explored in the context of the Lipkin-Meshkov-Glick model of interacting fermions. We introduce an iterative hybrid-classical-quantum algorithm, Hamiltonian learning variational quantum eigensolver (HL-VQE), that simultaneously optimizes an effective Hamiltonian, thereby rearranging entanglement into the effective model space, and the associated ground-state wavefunction. HL-VQE is found to provide an exponential improvement in Lipkin-Meshkov-Glick model calculations, compared to a nai"},"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":"2301.05976","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-01-14T21:10:02Z","cross_cats_sorted":["nucl-th"],"title_canon_sha256":"22228184a91122d7924df00b8416799c26a902be1f88547396890423b775c503","abstract_canon_sha256":"7ece62c91f6573cfa28a5e4835850fb8d475c597b9d66ec7820eecf2a9e39796"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:44:05.788512Z","signature_b64":"XBa7vFllNUsrI9OD3zr/Ws+MkwIIkAPpguFunFPDoIGs81p49ufYagt7zSafpudIv9i8tniAP5jVggJgqNJBBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"783eeb5a1431ed43c56b1f9f1f8b81ee8dcef0a1992c29a6d14cdbce9c75450f","last_reissued_at":"2026-07-05T06:44:05.788005Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:44:05.788005Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quantum Simulations in Effective Model Spaces (I): Hamiltonian Learning-VQE using Digital Quantum Computers and Application to the Lipkin-Meshkov-Glick Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["nucl-th"],"primary_cat":"quant-ph","authors_text":"Caroline E. P. Robin, Martin J. Savage","submitted_at":"2023-01-14T21:10:02Z","abstract_excerpt":"The utility of effective model spaces in quantum simulations of non-relativistic quantum many-body systems is explored in the context of the Lipkin-Meshkov-Glick model of interacting fermions. We introduce an iterative hybrid-classical-quantum algorithm, Hamiltonian learning variational quantum eigensolver (HL-VQE), that simultaneously optimizes an effective Hamiltonian, thereby rearranging entanglement into the effective model space, and the associated ground-state wavefunction. HL-VQE is found to provide an exponential improvement in Lipkin-Meshkov-Glick model calculations, compared to a nai"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.05976","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/2301.05976/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":"2301.05976","created_at":"2026-07-05T06:44:05.788063+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.05976v4","created_at":"2026-07-05T06:44:05.788063+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.05976","created_at":"2026-07-05T06:44:05.788063+00:00"},{"alias_kind":"pith_short_12","alias_value":"PA7OWWQUGHWU","created_at":"2026-07-05T06:44:05.788063+00:00"},{"alias_kind":"pith_short_16","alias_value":"PA7OWWQUGHWUHRLL","created_at":"2026-07-05T06:44:05.788063+00:00"},{"alias_kind":"pith_short_8","alias_value":"PA7OWWQU","created_at":"2026-07-05T06:44:05.788063+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.26376","citing_title":"Quantum Complexity and New Directions in Nuclear Physics and High-Energy Physics Phenomenology","ref_index":60,"is_internal_anchor":false},{"citing_arxiv_id":"2604.11381","citing_title":"Improved quasiparticle nuclear Hamiltonians for quantum computing","ref_index":58,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52","json":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52.json","graph_json":"https://pith.science/api/pith-number/PA7OWWQUGHWUHRLLD6PR7C4B52/graph.json","events_json":"https://pith.science/api/pith-number/PA7OWWQUGHWUHRLLD6PR7C4B52/events.json","paper":"https://pith.science/paper/PA7OWWQU"},"agent_actions":{"view_html":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52","download_json":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52.json","view_paper":"https://pith.science/paper/PA7OWWQU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.05976&json=true","fetch_graph":"https://pith.science/api/pith-number/PA7OWWQUGHWUHRLLD6PR7C4B52/graph.json","fetch_events":"https://pith.science/api/pith-number/PA7OWWQUGHWUHRLLD6PR7C4B52/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52/action/storage_attestation","attest_author":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52/action/author_attestation","sign_citation":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52/action/citation_signature","submit_replication":"https://pith.science/pith/PA7OWWQUGHWUHRLLD6PR7C4B52/action/replication_record"}},"created_at":"2026-07-05T06:44:05.788063+00:00","updated_at":"2026-07-05T06:44:05.788063+00:00"}