{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:D2BPIRBBA5XF26EVKF2ESQSF42","short_pith_number":"pith:D2BPIRBB","schema_version":"1.0","canonical_sha256":"1e82f44421076e5d78955174494245e6bb886655f1dfd1169b6faa32b10017c0","source":{"kind":"arxiv","id":"2209.01230","version":3},"attestation_state":"computed","paper":{"title":"Efficient Adiabatic Preparation of Tensor Network States","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Daniel Malz, J. Ignacio Cirac, Zhi-Yuan Wei","submitted_at":"2022-09-02T18:17:55Z","abstract_excerpt":"We propose and study a specific adiabatic path to prepare those tensor network states that are unique ground states of few-body parent Hamiltonians in finite lattices, which include normal tensor network states, as well as other relevant nonnormal states. This path guarantees a gap for finite systems and allows for efficient numerical simulation. In one dimension, we numerically investigate the preparation of a family of states with varying correlation lengths and the one-dimensional Affleck-Kennedy-Lieb-Tasaki (AKLT) state and show that adiabatic preparation can be much faster than standard m"},"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":"2209.01230","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2022-09-02T18:17:55Z","cross_cats_sorted":[],"title_canon_sha256":"c94fb64aea319c6e11d2af9e8c56e5731d972b2f8e92c3c99f151c8fb75ad599","abstract_canon_sha256":"8575efad2056ae86c6094fc882c101084c2bd06d42f9812d81df6ae46b2f1044"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:49:16.166853Z","signature_b64":"c/qCe3NeMx4V1Jn8BtnUtM8G9C2+cNw3dYXUb3XYqUg2xE/ntr8h1hpoX0Y0yhgt/oIXH+y2g/sqDODdf9MFCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e82f44421076e5d78955174494245e6bb886655f1dfd1169b6faa32b10017c0","last_reissued_at":"2026-07-05T06:49:16.166343Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:49:16.166343Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient Adiabatic Preparation of Tensor Network States","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Daniel Malz, J. Ignacio Cirac, Zhi-Yuan Wei","submitted_at":"2022-09-02T18:17:55Z","abstract_excerpt":"We propose and study a specific adiabatic path to prepare those tensor network states that are unique ground states of few-body parent Hamiltonians in finite lattices, which include normal tensor network states, as well as other relevant nonnormal states. This path guarantees a gap for finite systems and allows for efficient numerical simulation. In one dimension, we numerically investigate the preparation of a family of states with varying correlation lengths and the one-dimensional Affleck-Kennedy-Lieb-Tasaki (AKLT) state and show that adiabatic preparation can be much faster than standard m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.01230","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/2209.01230/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":"2209.01230","created_at":"2026-07-05T06:49:16.166409+00:00"},{"alias_kind":"arxiv_version","alias_value":"2209.01230v3","created_at":"2026-07-05T06:49:16.166409+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.01230","created_at":"2026-07-05T06:49:16.166409+00:00"},{"alias_kind":"pith_short_12","alias_value":"D2BPIRBBA5XF","created_at":"2026-07-05T06:49:16.166409+00:00"},{"alias_kind":"pith_short_16","alias_value":"D2BPIRBBA5XF26EV","created_at":"2026-07-05T06:49:16.166409+00:00"},{"alias_kind":"pith_short_8","alias_value":"D2BPIRBB","created_at":"2026-07-05T06:49:16.166409+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/D2BPIRBBA5XF26EVKF2ESQSF42","json":"https://pith.science/pith/D2BPIRBBA5XF26EVKF2ESQSF42.json","graph_json":"https://pith.science/api/pith-number/D2BPIRBBA5XF26EVKF2ESQSF42/graph.json","events_json":"https://pith.science/api/pith-number/D2BPIRBBA5XF26EVKF2ESQSF42/events.json","paper":"https://pith.science/paper/D2BPIRBB"},"agent_actions":{"view_html":"https://pith.science/pith/D2BPIRBBA5XF26EVKF2ESQSF42","download_json":"https://pith.science/pith/D2BPIRBBA5XF26EVKF2ESQSF42.json","view_paper":"https://pith.science/paper/D2BPIRBB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2209.01230&json=true","fetch_graph":"https://pith.science/api/pith-number/D2BPIRBBA5XF26EVKF2ESQSF42/graph.json","fetch_events":"https://pith.science/api/pith-number/D2BPIRBBA5XF26EVKF2ESQSF42/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D2BPIRBBA5XF26EVKF2ESQSF42/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D2BPIRBBA5XF26EVKF2ESQSF42/action/storage_attestation","attest_author":"https://pith.science/pith/D2BPIRBBA5XF26EVKF2ESQSF42/action/author_attestation","sign_citation":"https://pith.science/pith/D2BPIRBBA5XF26EVKF2ESQSF42/action/citation_signature","submit_replication":"https://pith.science/pith/D2BPIRBBA5XF26EVKF2ESQSF42/action/replication_record"}},"created_at":"2026-07-05T06:49:16.166409+00:00","updated_at":"2026-07-05T06:49:16.166409+00:00"}