{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:DCJLANPKKV2VMOBFWWN6RQRIHT","short_pith_number":"pith:DCJLANPK","schema_version":"1.0","canonical_sha256":"1892b035ea5575563825b59be8c2283cff411ad77d96cb9541d89febddc486e8","source":{"kind":"arxiv","id":"2408.07115","version":1},"attestation_state":"computed","paper":{"title":"Optimal quantum state tomography with local informationally complete measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Alireza Goldar, Casey Jameson, Michael B. Wakin, Zhen Qin, Zhexuan Gong, Zhihui Zhu","submitted_at":"2024-08-13T17:58:02Z","abstract_excerpt":"Quantum state tomography (QST) remains the gold standard for benchmarking and verification of near-term quantum devices. While QST for a generic quantum many-body state requires an exponentially large amount of resources, most physical quantum states are structured and can often be represented by a much smaller number of parameters, making efficient QST potentially possible. A prominent example is a matrix product state (MPS) or a matrix product density operator (MPDO), which is believed to represent most physical states generated by one-dimensional (1D) quantum devices. We study whether a gen"},"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":"2408.07115","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-08-13T17:58:02Z","cross_cats_sorted":[],"title_canon_sha256":"56c2180833083373709ad058a164c5f93217db28f6a26fb4261d01c6da911936","abstract_canon_sha256":"d59f27153b40367f8745859db157710780e9f4c81f399e0cfb86a1c3bdf67b63"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:55:11.042275Z","signature_b64":"XRzVuhoCIz6O/jtpxImXaqrZgFZK0+iKVBCD0LaDwEiuYa5F+S5DYRcVtyLdSrtTvE2Wl88afGC0Vr1oJnmZBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1892b035ea5575563825b59be8c2283cff411ad77d96cb9541d89febddc486e8","last_reissued_at":"2026-07-05T08:55:11.041869Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:55:11.041869Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal quantum state tomography with local informationally complete measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Alireza Goldar, Casey Jameson, Michael B. Wakin, Zhen Qin, Zhexuan Gong, Zhihui Zhu","submitted_at":"2024-08-13T17:58:02Z","abstract_excerpt":"Quantum state tomography (QST) remains the gold standard for benchmarking and verification of near-term quantum devices. While QST for a generic quantum many-body state requires an exponentially large amount of resources, most physical quantum states are structured and can often be represented by a much smaller number of parameters, making efficient QST potentially possible. A prominent example is a matrix product state (MPS) or a matrix product density operator (MPDO), which is believed to represent most physical states generated by one-dimensional (1D) quantum devices. We study whether a gen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.07115","kind":"arxiv","version":1},"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/2408.07115/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":"2408.07115","created_at":"2026-07-05T08:55:11.041920+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.07115v1","created_at":"2026-07-05T08:55:11.041920+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.07115","created_at":"2026-07-05T08:55:11.041920+00:00"},{"alias_kind":"pith_short_12","alias_value":"DCJLANPKKV2V","created_at":"2026-07-05T08:55:11.041920+00:00"},{"alias_kind":"pith_short_16","alias_value":"DCJLANPKKV2VMOBF","created_at":"2026-07-05T08:55:11.041920+00:00"},{"alias_kind":"pith_short_8","alias_value":"DCJLANPK","created_at":"2026-07-05T08:55:11.041920+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.27191","citing_title":"Statistical and Algorithmic Foundations of Probing Quantum Systems with Compressive Measurements: A Review","ref_index":28,"is_internal_anchor":false},{"citing_arxiv_id":"2604.26043","citing_title":"An Exponential Advantage for Adaptive Tomography of Structured States under Pauli Basis Measurements","ref_index":13,"is_internal_anchor":false},{"citing_arxiv_id":"2604.16578","citing_title":"Verifying random matrix product states with autoregressive local measurements","ref_index":42,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT","json":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT.json","graph_json":"https://pith.science/api/pith-number/DCJLANPKKV2VMOBFWWN6RQRIHT/graph.json","events_json":"https://pith.science/api/pith-number/DCJLANPKKV2VMOBFWWN6RQRIHT/events.json","paper":"https://pith.science/paper/DCJLANPK"},"agent_actions":{"view_html":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT","download_json":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT.json","view_paper":"https://pith.science/paper/DCJLANPK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.07115&json=true","fetch_graph":"https://pith.science/api/pith-number/DCJLANPKKV2VMOBFWWN6RQRIHT/graph.json","fetch_events":"https://pith.science/api/pith-number/DCJLANPKKV2VMOBFWWN6RQRIHT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT/action/storage_attestation","attest_author":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT/action/author_attestation","sign_citation":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT/action/citation_signature","submit_replication":"https://pith.science/pith/DCJLANPKKV2VMOBFWWN6RQRIHT/action/replication_record"}},"created_at":"2026-07-05T08:55:11.041920+00:00","updated_at":"2026-07-05T08:55:11.041920+00:00"}