{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TDNGV7PFITJOKL6BBN22CFBHVH","short_pith_number":"pith:TDNGV7PF","schema_version":"1.0","canonical_sha256":"98da6afde544d2e52fc10b75a11427a9e5c95ac14b7e7168e93f967104960a5d","source":{"kind":"arxiv","id":"2601.18082","version":1},"attestation_state":"computed","paper":{"title":"Feedback-Based Quantum Control for Safe and Synergistic Drug Combination Design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.chem-ph","physics.comp-ph","physics.med-ph"],"primary_cat":"quant-ph","authors_text":"Lan Nguyen Tran, Le Bin Ho, Mai Nguyen Phuong Nhi","submitted_at":"2026-01-26T02:30:38Z","abstract_excerpt":"Drug-drug interactions (DDIs) strongly affect the safety and efficacy of combination therapies. Despite the availability of large DDI databases, selecting optimal multi-drug combinations that balance safety, therapeutic benefit, and regimen size remains a challenging combinatorial optimization problem. Here, we present a quantum-control-based framework for DDI-aware drug combination optimization, in which known harmful and synergistic interactions are encoded into Ising Hamiltonians as penalties and rewards, respectively. The optimization is performed using the feedback-based quantum algorithm"},"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":"2601.18082","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2026-01-26T02:30:38Z","cross_cats_sorted":["physics.chem-ph","physics.comp-ph","physics.med-ph"],"title_canon_sha256":"8d7b4bf979462f19f024545b643f961da0b7141cc7ba89951bd78c0e5f88e921","abstract_canon_sha256":"6eca868aa6730066c00ece4292bb27cac2baa9a8e98b9785695826561eb7b226"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:23:28.680753Z","signature_b64":"ux59Df4VGFaD2/N7kY+oV7fEUct3813Jwv8lpL0ERYWPFK3vLQwcppqmnzewzV6S7G9DT6aAPLC2jULcvgIZBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98da6afde544d2e52fc10b75a11427a9e5c95ac14b7e7168e93f967104960a5d","last_reissued_at":"2026-07-28T01:23:28.679791Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:23:28.679791Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Feedback-Based Quantum Control for Safe and Synergistic Drug Combination Design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.chem-ph","physics.comp-ph","physics.med-ph"],"primary_cat":"quant-ph","authors_text":"Lan Nguyen Tran, Le Bin Ho, Mai Nguyen Phuong Nhi","submitted_at":"2026-01-26T02:30:38Z","abstract_excerpt":"Drug-drug interactions (DDIs) strongly affect the safety and efficacy of combination therapies. Despite the availability of large DDI databases, selecting optimal multi-drug combinations that balance safety, therapeutic benefit, and regimen size remains a challenging combinatorial optimization problem. Here, we present a quantum-control-based framework for DDI-aware drug combination optimization, in which known harmful and synergistic interactions are encoded into Ising Hamiltonians as penalties and rewards, respectively. The optimization is performed using the feedback-based quantum algorithm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.18082","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/2601.18082/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":"2601.18082","created_at":"2026-07-28T01:23:28.680236+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.18082v1","created_at":"2026-07-28T01:23:28.680236+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.18082","created_at":"2026-07-28T01:23:28.680236+00:00"},{"alias_kind":"pith_short_12","alias_value":"TDNGV7PFITJO","created_at":"2026-07-28T01:23:28.680236+00:00"},{"alias_kind":"pith_short_16","alias_value":"TDNGV7PFITJOKL6B","created_at":"2026-07-28T01:23:28.680236+00:00"},{"alias_kind":"pith_short_8","alias_value":"TDNGV7PF","created_at":"2026-07-28T01:23:28.680236+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/TDNGV7PFITJOKL6BBN22CFBHVH","json":"https://pith.science/pith/TDNGV7PFITJOKL6BBN22CFBHVH.json","graph_json":"https://pith.science/api/pith-number/TDNGV7PFITJOKL6BBN22CFBHVH/graph.json","events_json":"https://pith.science/api/pith-number/TDNGV7PFITJOKL6BBN22CFBHVH/events.json","paper":"https://pith.science/paper/TDNGV7PF"},"agent_actions":{"view_html":"https://pith.science/pith/TDNGV7PFITJOKL6BBN22CFBHVH","download_json":"https://pith.science/pith/TDNGV7PFITJOKL6BBN22CFBHVH.json","view_paper":"https://pith.science/paper/TDNGV7PF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.18082&json=true","fetch_graph":"https://pith.science/api/pith-number/TDNGV7PFITJOKL6BBN22CFBHVH/graph.json","fetch_events":"https://pith.science/api/pith-number/TDNGV7PFITJOKL6BBN22CFBHVH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TDNGV7PFITJOKL6BBN22CFBHVH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TDNGV7PFITJOKL6BBN22CFBHVH/action/storage_attestation","attest_author":"https://pith.science/pith/TDNGV7PFITJOKL6BBN22CFBHVH/action/author_attestation","sign_citation":"https://pith.science/pith/TDNGV7PFITJOKL6BBN22CFBHVH/action/citation_signature","submit_replication":"https://pith.science/pith/TDNGV7PFITJOKL6BBN22CFBHVH/action/replication_record"}},"created_at":"2026-07-28T01:23:28.680236+00:00","updated_at":"2026-07-28T01:23:28.680236+00:00"}