{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:5G4MXE3GIZ45SBAC3WD6XJGJK4","short_pith_number":"pith:5G4MXE3G","schema_version":"1.0","canonical_sha256":"e9b8cb93664679d90402dd87eba4c9573fb9d523c053baf5f903daa0440fb3d7","source":{"kind":"arxiv","id":"2508.16029","version":1},"attestation_state":"computed","paper":{"title":"Quantum Optimal Control with Geodesic Pulse Engineering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Dylan Lewis, Roeland Wiersema, Sougato Bose","submitted_at":"2025-08-22T01:14:04Z","abstract_excerpt":"Designing multi-qubit quantum logic gates with experimental constraints is an important problem in quantum computing. Here, we develop a new quantum optimal control algorithm for finding unitary transformations with constraints on the Hamiltonian. The algorithm, geodesic pulse engineering (GEOPE), uses differential programming and geodesics on the Riemannian manifold of $\\textrm{SU}(2^n)$ for $n$ qubits. We demonstrate significant improvements over the widely used gradient-based method, GRAPE, for designing multi-qubit quantum gates. Instead of a local gradient descent, the parameter updates o"},"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":"2508.16029","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-08-22T01:14:04Z","cross_cats_sorted":[],"title_canon_sha256":"8558164019de3a82c05420be3e58586384d678f887366f7f1f3f201c73bc65d2","abstract_canon_sha256":"9d6a9c6fdef8f34c90d5ef94d85bb8e4a0dc7f8b699fe1916192b0a61db0d424"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:57:40.357094Z","signature_b64":"S1L4StASAcu+S2aLz5s38+Vr6ZAsbXlhmGGDsi79p8R/0GAAWK6RW+F79G7lzJIEwvXYv3ejkSc/P0NOB5tbAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9b8cb93664679d90402dd87eba4c9573fb9d523c053baf5f903daa0440fb3d7","last_reissued_at":"2026-07-05T11:57:40.356675Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:57:40.356675Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quantum Optimal Control with Geodesic Pulse Engineering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Dylan Lewis, Roeland Wiersema, Sougato Bose","submitted_at":"2025-08-22T01:14:04Z","abstract_excerpt":"Designing multi-qubit quantum logic gates with experimental constraints is an important problem in quantum computing. Here, we develop a new quantum optimal control algorithm for finding unitary transformations with constraints on the Hamiltonian. The algorithm, geodesic pulse engineering (GEOPE), uses differential programming and geodesics on the Riemannian manifold of $\\textrm{SU}(2^n)$ for $n$ qubits. We demonstrate significant improvements over the widely used gradient-based method, GRAPE, for designing multi-qubit quantum gates. Instead of a local gradient descent, the parameter updates o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16029","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/2508.16029/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":"2508.16029","created_at":"2026-07-05T11:57:40.356731+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.16029v1","created_at":"2026-07-05T11:57:40.356731+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16029","created_at":"2026-07-05T11:57:40.356731+00:00"},{"alias_kind":"pith_short_12","alias_value":"5G4MXE3GIZ45","created_at":"2026-07-05T11:57:40.356731+00:00"},{"alias_kind":"pith_short_16","alias_value":"5G4MXE3GIZ45SBAC","created_at":"2026-07-05T11:57:40.356731+00:00"},{"alias_kind":"pith_short_8","alias_value":"5G4MXE3G","created_at":"2026-07-05T11:57:40.356731+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":3,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.25768","citing_title":"Pulse Quality Optimisation in Quantum Optimal Control","ref_index":19,"is_internal_anchor":false},{"citing_arxiv_id":"2604.25042","citing_title":"Stabilizers for Compiling Logical Circuits under Hardware Constraints","ref_index":17,"is_internal_anchor":false},{"citing_arxiv_id":"2605.01367","citing_title":"From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data","ref_index":29,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4","json":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4.json","graph_json":"https://pith.science/api/pith-number/5G4MXE3GIZ45SBAC3WD6XJGJK4/graph.json","events_json":"https://pith.science/api/pith-number/5G4MXE3GIZ45SBAC3WD6XJGJK4/events.json","paper":"https://pith.science/paper/5G4MXE3G"},"agent_actions":{"view_html":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4","download_json":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4.json","view_paper":"https://pith.science/paper/5G4MXE3G","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.16029&json=true","fetch_graph":"https://pith.science/api/pith-number/5G4MXE3GIZ45SBAC3WD6XJGJK4/graph.json","fetch_events":"https://pith.science/api/pith-number/5G4MXE3GIZ45SBAC3WD6XJGJK4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4/action/storage_attestation","attest_author":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4/action/author_attestation","sign_citation":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4/action/citation_signature","submit_replication":"https://pith.science/pith/5G4MXE3GIZ45SBAC3WD6XJGJK4/action/replication_record"}},"created_at":"2026-07-05T11:57:40.356731+00:00","updated_at":"2026-07-05T11:57:40.356731+00:00"}