{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:RBCM4V3BZFRE2RQL4U4DFPTBXK","short_pith_number":"pith:RBCM4V3B","schema_version":"1.0","canonical_sha256":"8844ce5761c9624d460be53832be61baa7c9887e642e8e1c98a41409fb79ef64","source":{"kind":"arxiv","id":"2410.14286","version":3},"attestation_state":"computed","paper":{"title":"Smolyak algorithm assisted robust control for quantum systems with uncertainties","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Xiu-Hao Deng, Zibo Miao, Zigui Zhang","submitted_at":"2024-10-18T08:40:59Z","abstract_excerpt":"Efficient and systematic numerical methods for robust control design are crucial in quantum systems due to inevitable uncertainties or disturbances. We propose a novel approach that models uncertainties as random variables and quantifies robustness using the expectation of infidelity by reformulating it as a weighted tensor product quadrature. We employ the Smolyak algorithm to develop a parametric robust quantum control scheme, which balances the reduction of computational cost with the enhancement of estimation accuracy. We demonstrate the effectiveness of our proposed algorithm by incorpora"},"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":"2410.14286","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-10-18T08:40:59Z","cross_cats_sorted":[],"title_canon_sha256":"5fa02cd472f045e98d8476c6ba6d3b9d6c9a3987ba213d6e1ff5ba8116c02e79","abstract_canon_sha256":"e0b119d3f666d00f9ea84a4aa917daa5914a88bcabed28d775eb1c1e87b59c46"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:51:26.783227Z","signature_b64":"gYqFGTDrFCjU/tWcOrGeL0PRVkUrOZf7Vpx8Q5wgZhwof+9sjcPEaxodN/o3PQpcocZrTsdSOEiSQqAnAvrMBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8844ce5761c9624d460be53832be61baa7c9887e642e8e1c98a41409fb79ef64","last_reissued_at":"2026-07-05T10:51:26.782752Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:51:26.782752Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Smolyak algorithm assisted robust control for quantum systems with uncertainties","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Xiu-Hao Deng, Zibo Miao, Zigui Zhang","submitted_at":"2024-10-18T08:40:59Z","abstract_excerpt":"Efficient and systematic numerical methods for robust control design are crucial in quantum systems due to inevitable uncertainties or disturbances. We propose a novel approach that models uncertainties as random variables and quantifies robustness using the expectation of infidelity by reformulating it as a weighted tensor product quadrature. We employ the Smolyak algorithm to develop a parametric robust quantum control scheme, which balances the reduction of computational cost with the enhancement of estimation accuracy. We demonstrate the effectiveness of our proposed algorithm by incorpora"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14286","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/2410.14286/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":"2410.14286","created_at":"2026-07-05T10:51:26.782805+00:00"},{"alias_kind":"arxiv_version","alias_value":"2410.14286v3","created_at":"2026-07-05T10:51:26.782805+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14286","created_at":"2026-07-05T10:51:26.782805+00:00"},{"alias_kind":"pith_short_12","alias_value":"RBCM4V3BZFRE","created_at":"2026-07-05T10:51:26.782805+00:00"},{"alias_kind":"pith_short_16","alias_value":"RBCM4V3BZFRE2RQL","created_at":"2026-07-05T10:51:26.782805+00:00"},{"alias_kind":"pith_short_8","alias_value":"RBCM4V3B","created_at":"2026-07-05T10:51:26.782805+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/RBCM4V3BZFRE2RQL4U4DFPTBXK","json":"https://pith.science/pith/RBCM4V3BZFRE2RQL4U4DFPTBXK.json","graph_json":"https://pith.science/api/pith-number/RBCM4V3BZFRE2RQL4U4DFPTBXK/graph.json","events_json":"https://pith.science/api/pith-number/RBCM4V3BZFRE2RQL4U4DFPTBXK/events.json","paper":"https://pith.science/paper/RBCM4V3B"},"agent_actions":{"view_html":"https://pith.science/pith/RBCM4V3BZFRE2RQL4U4DFPTBXK","download_json":"https://pith.science/pith/RBCM4V3BZFRE2RQL4U4DFPTBXK.json","view_paper":"https://pith.science/paper/RBCM4V3B","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2410.14286&json=true","fetch_graph":"https://pith.science/api/pith-number/RBCM4V3BZFRE2RQL4U4DFPTBXK/graph.json","fetch_events":"https://pith.science/api/pith-number/RBCM4V3BZFRE2RQL4U4DFPTBXK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RBCM4V3BZFRE2RQL4U4DFPTBXK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RBCM4V3BZFRE2RQL4U4DFPTBXK/action/storage_attestation","attest_author":"https://pith.science/pith/RBCM4V3BZFRE2RQL4U4DFPTBXK/action/author_attestation","sign_citation":"https://pith.science/pith/RBCM4V3BZFRE2RQL4U4DFPTBXK/action/citation_signature","submit_replication":"https://pith.science/pith/RBCM4V3BZFRE2RQL4U4DFPTBXK/action/replication_record"}},"created_at":"2026-07-05T10:51:26.782805+00:00","updated_at":"2026-07-05T10:51:26.782805+00:00"}