{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:CAJS7CAKIWEGFLTMZIULGFEXHZ","short_pith_number":"pith:CAJS7CAK","schema_version":"1.0","canonical_sha256":"10132f880a458862ae6cca28b314973e485f0e33f00ace202e3bc9c8b37c77bf","source":{"kind":"arxiv","id":"1810.09434","version":2},"attestation_state":"computed","paper":{"title":"Subspace-search variational quantum eigensolver for excited states","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Keisuke Fujii, Ken M Nakanishi, Kosuke Mitarai","submitted_at":"2018-10-22T17:59:50Z","abstract_excerpt":"The variational quantum eigensolver (VQE), a variational algorithm to obtain an approximated ground state of a given Hamiltonian, is an appealing application of near-term quantum computers. The original work [A. Peruzzo et al.; \\textit{Nat. Commun.}; \\textbf{5}, 4213 (2014)] focused only on finding a ground state, whereas the excited states can also induce interesting phenomena in molecules and materials. Calculating excited states is, in general, a more difficult task than finding ground states for classical computers. To extend the framework to excited states, we here propose an algorithm, t"},"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":"1810.09434","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2018-10-22T17:59:50Z","cross_cats_sorted":[],"title_canon_sha256":"cd7eef5801176b5aba10aef473f0704c3250c589724723e4b09387797bb72e1d","abstract_canon_sha256":"d6d16b7d9b4d74c47e3da23cb758e7aab51152535fc60d93024312e4e5a0783d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:16:58.871818Z","signature_b64":"FyuH3NyBqRNpVBZifOtBv9r75nZ+r4VLAMWccVtOPEk/YOHjQP0NeGbMkx9L6nEO5r82Ct9towyFx8hp46HKCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"10132f880a458862ae6cca28b314973e485f0e33f00ace202e3bc9c8b37c77bf","last_reissued_at":"2026-07-05T00:16:58.871455Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:16:58.871455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Subspace-search variational quantum eigensolver for excited states","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Keisuke Fujii, Ken M Nakanishi, Kosuke Mitarai","submitted_at":"2018-10-22T17:59:50Z","abstract_excerpt":"The variational quantum eigensolver (VQE), a variational algorithm to obtain an approximated ground state of a given Hamiltonian, is an appealing application of near-term quantum computers. The original work [A. Peruzzo et al.; \\textit{Nat. Commun.}; \\textbf{5}, 4213 (2014)] focused only on finding a ground state, whereas the excited states can also induce interesting phenomena in molecules and materials. Calculating excited states is, in general, a more difficult task than finding ground states for classical computers. To extend the framework to excited states, we here propose an algorithm, t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.09434","kind":"arxiv","version":2},"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/1810.09434/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":"1810.09434","created_at":"2026-07-05T00:16:58.871516+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.09434v2","created_at":"2026-07-05T00:16:58.871516+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.09434","created_at":"2026-07-05T00:16:58.871516+00:00"},{"alias_kind":"pith_short_12","alias_value":"CAJS7CAKIWEG","created_at":"2026-07-05T00:16:58.871516+00:00"},{"alias_kind":"pith_short_16","alias_value":"CAJS7CAKIWEGFLTM","created_at":"2026-07-05T00:16:58.871516+00:00"},{"alias_kind":"pith_short_8","alias_value":"CAJS7CAK","created_at":"2026-07-05T00:16:58.871516+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.08683","citing_title":"High-Precision Variational Quantum SVD via Classical Orthogonality Correction","ref_index":42,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ","json":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ.json","graph_json":"https://pith.science/api/pith-number/CAJS7CAKIWEGFLTMZIULGFEXHZ/graph.json","events_json":"https://pith.science/api/pith-number/CAJS7CAKIWEGFLTMZIULGFEXHZ/events.json","paper":"https://pith.science/paper/CAJS7CAK"},"agent_actions":{"view_html":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ","download_json":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ.json","view_paper":"https://pith.science/paper/CAJS7CAK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.09434&json=true","fetch_graph":"https://pith.science/api/pith-number/CAJS7CAKIWEGFLTMZIULGFEXHZ/graph.json","fetch_events":"https://pith.science/api/pith-number/CAJS7CAKIWEGFLTMZIULGFEXHZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ/action/storage_attestation","attest_author":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ/action/author_attestation","sign_citation":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ/action/citation_signature","submit_replication":"https://pith.science/pith/CAJS7CAKIWEGFLTMZIULGFEXHZ/action/replication_record"}},"created_at":"2026-07-05T00:16:58.871516+00:00","updated_at":"2026-07-05T00:16:58.871516+00:00"}