{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:YQVN24I3U4R6OCGIXU2HSDM5U3","short_pith_number":"pith:YQVN24I3","schema_version":"1.0","canonical_sha256":"c42add711ba723e708c8bd34790d9da6c4eb0a6857c7b8b178db8c4d35eff2ab","source":{"kind":"arxiv","id":"2009.13545","version":3},"attestation_state":"computed","paper":{"title":"The Meta-Variational Quantum Eigensolver (Meta-VQE): Learning energy profiles of parameterized Hamiltonians for quantum simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Al\\'an Aspuru-Guzik, Alba Cervera-Lierta, Jakob S. Kottmann","submitted_at":"2020-09-28T18:00:15Z","abstract_excerpt":"We present the meta-VQE, an algorithm capable to learn the ground state energy profile of a parametrized Hamiltonian. By training the meta-VQE with a few data points, it delivers an initial circuit parametrization that can be used to compute the ground state energy of any parametrization of the Hamiltonian within a certain trust region. We test this algorithm with a XXZ spin chain, an electronic H$_{4}$ Hamiltonian and a single-transmon quantum simulation. In all cases, the meta-VQE is able to learn the shape of the energy functional and, in some cases, resulted in improved accuracy in compari"},"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":"2009.13545","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2020-09-28T18:00:15Z","cross_cats_sorted":[],"title_canon_sha256":"10987151ec17bef04428c8039670f4d2bc1d386d3dd16a3eff1b7324ffd34345","abstract_canon_sha256":"9ad3f4bf9ece32780f23a53decd3d9ca7221d6ab993e7f1ccb4cf461e78ddd04"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:44:15.964481Z","signature_b64":"c1R9NwtD9qbUDsYlr9Ww5twrW78QZbv6cDBJY+dMaZ82oJZBbXEhsrsew17uUdch1BiajMhsJ25af3mOxEz4AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c42add711ba723e708c8bd34790d9da6c4eb0a6857c7b8b178db8c4d35eff2ab","last_reissued_at":"2026-07-05T02:44:15.963972Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:44:15.963972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Meta-Variational Quantum Eigensolver (Meta-VQE): Learning energy profiles of parameterized Hamiltonians for quantum simulation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Al\\'an Aspuru-Guzik, Alba Cervera-Lierta, Jakob S. Kottmann","submitted_at":"2020-09-28T18:00:15Z","abstract_excerpt":"We present the meta-VQE, an algorithm capable to learn the ground state energy profile of a parametrized Hamiltonian. By training the meta-VQE with a few data points, it delivers an initial circuit parametrization that can be used to compute the ground state energy of any parametrization of the Hamiltonian within a certain trust region. We test this algorithm with a XXZ spin chain, an electronic H$_{4}$ Hamiltonian and a single-transmon quantum simulation. In all cases, the meta-VQE is able to learn the shape of the energy functional and, in some cases, resulted in improved accuracy in compari"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2009.13545","kind":"arxiv","version":3},"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/2009.13545/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":"2009.13545","created_at":"2026-07-05T02:44:15.964033+00:00"},{"alias_kind":"arxiv_version","alias_value":"2009.13545v3","created_at":"2026-07-05T02:44:15.964033+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2009.13545","created_at":"2026-07-05T02:44:15.964033+00:00"},{"alias_kind":"pith_short_12","alias_value":"YQVN24I3U4R6","created_at":"2026-07-05T02:44:15.964033+00:00"},{"alias_kind":"pith_short_16","alias_value":"YQVN24I3U4R6OCGI","created_at":"2026-07-05T02:44:15.964033+00:00"},{"alias_kind":"pith_short_8","alias_value":"YQVN24I3","created_at":"2026-07-05T02:44:15.964033+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/YQVN24I3U4R6OCGIXU2HSDM5U3","json":"https://pith.science/pith/YQVN24I3U4R6OCGIXU2HSDM5U3.json","graph_json":"https://pith.science/api/pith-number/YQVN24I3U4R6OCGIXU2HSDM5U3/graph.json","events_json":"https://pith.science/api/pith-number/YQVN24I3U4R6OCGIXU2HSDM5U3/events.json","paper":"https://pith.science/paper/YQVN24I3"},"agent_actions":{"view_html":"https://pith.science/pith/YQVN24I3U4R6OCGIXU2HSDM5U3","download_json":"https://pith.science/pith/YQVN24I3U4R6OCGIXU2HSDM5U3.json","view_paper":"https://pith.science/paper/YQVN24I3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2009.13545&json=true","fetch_graph":"https://pith.science/api/pith-number/YQVN24I3U4R6OCGIXU2HSDM5U3/graph.json","fetch_events":"https://pith.science/api/pith-number/YQVN24I3U4R6OCGIXU2HSDM5U3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YQVN24I3U4R6OCGIXU2HSDM5U3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YQVN24I3U4R6OCGIXU2HSDM5U3/action/storage_attestation","attest_author":"https://pith.science/pith/YQVN24I3U4R6OCGIXU2HSDM5U3/action/author_attestation","sign_citation":"https://pith.science/pith/YQVN24I3U4R6OCGIXU2HSDM5U3/action/citation_signature","submit_replication":"https://pith.science/pith/YQVN24I3U4R6OCGIXU2HSDM5U3/action/replication_record"}},"created_at":"2026-07-05T02:44:15.964033+00:00","updated_at":"2026-07-05T02:44:15.964033+00:00"}