{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:5LFCX4EZ47G7PIRW5ALHUT6EMH","short_pith_number":"pith:5LFCX4EZ","schema_version":"1.0","canonical_sha256":"eaca2bf099e7cdf7a236e8167a4fc461c7b2376ebdf4ffddaed39fdb78843f04","source":{"kind":"arxiv","id":"2108.08824","version":2},"attestation_state":"computed","paper":{"title":"Optimal short-time measurements for Hamiltonian learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.quant-gas","cond-mat.str-el"],"primary_cat":"quant-ph","authors_text":"Assaf Zubida, Elad Yitzhaki, Eyal Bairey, Netanel H. Lindner","submitted_at":"2021-08-19T17:48:48Z","abstract_excerpt":"Characterizing noisy quantum devices requires methods for learning the underlying quantum Hamiltonian which governs their dynamics. Often, such methods compare measurements to simulations of candidate Hamiltonians, a task which requires exponential computational complexity. Here, we propose efficient measurement schemes based on short-time dynamics which circumvent this exponential difficulty. We provide estimates for the optimal measurement schedule and reconstruction error, and verify these estimates numerically. We demonstrate that the reconstruction requires a system-size independent numbe"},"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":"2108.08824","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2021-08-19T17:48:48Z","cross_cats_sorted":["cond-mat.quant-gas","cond-mat.str-el"],"title_canon_sha256":"6d2aa06d06ec25efed6e2bb8c20997bd18ea8ca57315a1251b4c65207cdb26e5","abstract_canon_sha256":"8252710bca90fcf427ea40f125fa914fd93433bd6f64aca05bdfbccc24d5df11"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:21:58.716349Z","signature_b64":"q0wqwre2sMJGySCRjfS2HaEGX0RSA0wHai5Stiml+LOlqKx2VK5tmGrZAFVFJ4P7jI0GikYjlYDp+g7mnQMYBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eaca2bf099e7cdf7a236e8167a4fc461c7b2376ebdf4ffddaed39fdb78843f04","last_reissued_at":"2026-07-05T03:21:58.715812Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:21:58.715812Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal short-time measurements for Hamiltonian learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.quant-gas","cond-mat.str-el"],"primary_cat":"quant-ph","authors_text":"Assaf Zubida, Elad Yitzhaki, Eyal Bairey, Netanel H. Lindner","submitted_at":"2021-08-19T17:48:48Z","abstract_excerpt":"Characterizing noisy quantum devices requires methods for learning the underlying quantum Hamiltonian which governs their dynamics. Often, such methods compare measurements to simulations of candidate Hamiltonians, a task which requires exponential computational complexity. Here, we propose efficient measurement schemes based on short-time dynamics which circumvent this exponential difficulty. We provide estimates for the optimal measurement schedule and reconstruction error, and verify these estimates numerically. We demonstrate that the reconstruction requires a system-size independent numbe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.08824","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/2108.08824/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":"2108.08824","created_at":"2026-07-05T03:21:58.715884+00:00"},{"alias_kind":"arxiv_version","alias_value":"2108.08824v2","created_at":"2026-07-05T03:21:58.715884+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.08824","created_at":"2026-07-05T03:21:58.715884+00:00"},{"alias_kind":"pith_short_12","alias_value":"5LFCX4EZ47G7","created_at":"2026-07-05T03:21:58.715884+00:00"},{"alias_kind":"pith_short_16","alias_value":"5LFCX4EZ47G7PIRW","created_at":"2026-07-05T03:21:58.715884+00:00"},{"alias_kind":"pith_short_8","alias_value":"5LFCX4EZ","created_at":"2026-07-05T03:21:58.715884+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":8,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2607.06472","citing_title":"Provable learning separation for predicting time-evolution of quantum many-body systems","ref_index":89,"is_internal_anchor":true},{"citing_arxiv_id":"2606.20535","citing_title":"Near-Optimal Learning of Local Lindbladians","ref_index":20,"is_internal_anchor":false},{"citing_arxiv_id":"2606.20706","citing_title":"Efficient and SPAM-Robust Ansatz-Free Lindbladian Learning","ref_index":6,"is_internal_anchor":false},{"citing_arxiv_id":"2606.30358","citing_title":"Learning the structure of open quantum systems","ref_index":3,"is_internal_anchor":false},{"citing_arxiv_id":"2605.26953","citing_title":"Pairwise Liouvillian learning from randomized measurements: practical aspects and guidelines for operating the protocol in large-scale experiments","ref_index":8,"is_internal_anchor":false},{"citing_arxiv_id":"2606.23652","citing_title":"Robust Structure Learning of $k$-local Lindbladians","ref_index":14,"is_internal_anchor":false},{"citing_arxiv_id":"2509.20665","citing_title":"Lower Bounds for Learning Hamiltonians from Time Evolution","ref_index":55,"is_internal_anchor":false},{"citing_arxiv_id":"2604.27838","citing_title":"Heisenberg-limited Hamiltonian learning without short-time control","ref_index":15,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH","json":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH.json","graph_json":"https://pith.science/api/pith-number/5LFCX4EZ47G7PIRW5ALHUT6EMH/graph.json","events_json":"https://pith.science/api/pith-number/5LFCX4EZ47G7PIRW5ALHUT6EMH/events.json","paper":"https://pith.science/paper/5LFCX4EZ"},"agent_actions":{"view_html":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH","download_json":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH.json","view_paper":"https://pith.science/paper/5LFCX4EZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2108.08824&json=true","fetch_graph":"https://pith.science/api/pith-number/5LFCX4EZ47G7PIRW5ALHUT6EMH/graph.json","fetch_events":"https://pith.science/api/pith-number/5LFCX4EZ47G7PIRW5ALHUT6EMH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH/action/storage_attestation","attest_author":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH/action/author_attestation","sign_citation":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH/action/citation_signature","submit_replication":"https://pith.science/pith/5LFCX4EZ47G7PIRW5ALHUT6EMH/action/replication_record"}},"created_at":"2026-07-05T03:21:58.715884+00:00","updated_at":"2026-07-05T03:21:58.715884+00:00"}