{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:5M37LETR6TJZF37Q7ZCCT5BRHF","short_pith_number":"pith:5M37LETR","schema_version":"1.0","canonical_sha256":"eb37f59271f4d392eff0fe4429f431396e74ee9f28d927949ecc7dc176a3623d","source":{"kind":"arxiv","id":"2504.09767","version":1},"attestation_state":"computed","paper":{"title":"Implementing and benchmarking dynamically corrected gates on superconducting devices using space curve quantum control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Edwin Barnes, Evangelos Piliouras, Hisham Amer, Sophia E. Economou","submitted_at":"2025-04-14T00:19:23Z","abstract_excerpt":"We use Space Curve Quantum Control (SCQC) to design, experimentally demonstrate, and benchmark dynamically corrected single-qubit gates on IBM hardware, comparing their performance to that of the standard gates provided by IBM. Our gates are designed to dynamically suppress both detuning and pulse-amplitude noise, with gate times as short as 88 ns. We compare our gates against those of IBM on two separate IBM devices and across sets of up to 18 qubits. Randomized benchmarking is done utilizing our detuning- and amplitude-robust gates in randomized Clifford circuits containing up to 4000 gates."},"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":"2504.09767","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-04-14T00:19:23Z","cross_cats_sorted":[],"title_canon_sha256":"483c473a73866efaf0a132642a459eb8470d3083d55dc3a0bc0634d157725b67","abstract_canon_sha256":"8e776326c69d76c3e43d9a36823388351aced91f13ccfcf7e2e3c5080d597bc4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:48:42.337010Z","signature_b64":"yOaGE7vV55Fo/2woDqussq9soL+W3UcW3KvuLBfgcHs/sy2LH6OJhvQUF+4uD5Xh/eEDOgUUeSzqZmTa5+qsAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb37f59271f4d392eff0fe4429f431396e74ee9f28d927949ecc7dc176a3623d","last_reissued_at":"2026-07-05T10:48:42.336512Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:48:42.336512Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Implementing and benchmarking dynamically corrected gates on superconducting devices using space curve quantum control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Edwin Barnes, Evangelos Piliouras, Hisham Amer, Sophia E. Economou","submitted_at":"2025-04-14T00:19:23Z","abstract_excerpt":"We use Space Curve Quantum Control (SCQC) to design, experimentally demonstrate, and benchmark dynamically corrected single-qubit gates on IBM hardware, comparing their performance to that of the standard gates provided by IBM. Our gates are designed to dynamically suppress both detuning and pulse-amplitude noise, with gate times as short as 88 ns. We compare our gates against those of IBM on two separate IBM devices and across sets of up to 18 qubits. Randomized benchmarking is done utilizing our detuning- and amplitude-robust gates in randomized Clifford circuits containing up to 4000 gates."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09767","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/2504.09767/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":"2504.09767","created_at":"2026-07-05T10:48:42.336574+00:00"},{"alias_kind":"arxiv_version","alias_value":"2504.09767v1","created_at":"2026-07-05T10:48:42.336574+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09767","created_at":"2026-07-05T10:48:42.336574+00:00"},{"alias_kind":"pith_short_12","alias_value":"5M37LETR6TJZ","created_at":"2026-07-05T10:48:42.336574+00:00"},{"alias_kind":"pith_short_16","alias_value":"5M37LETR6TJZF37Q","created_at":"2026-07-05T10:48:42.336574+00:00"},{"alias_kind":"pith_short_8","alias_value":"5M37LETR","created_at":"2026-07-05T10:48:42.336574+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":5,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.26085","citing_title":"Analytic Approach to Quantum Control Using Quantum Signal Processing","ref_index":18,"is_internal_anchor":false},{"citing_arxiv_id":"2606.11579","citing_title":"Tensor-Network-Based Distributed Quantum Dynamics on Independent Quantum Computers","ref_index":81,"is_internal_anchor":false},{"citing_arxiv_id":"2605.10801","citing_title":"Algorithmic Advantage on a Gate-Based Photonic Quantum Neural Network","ref_index":19,"is_internal_anchor":false},{"citing_arxiv_id":"2510.08416","citing_title":"Dynamical error reshaping for dual-rail erasure qubits","ref_index":37,"is_internal_anchor":false},{"citing_arxiv_id":"2605.10801","citing_title":"Algorithmic Advantage on a Gate-Based Photonic Quantum Neural Network","ref_index":19,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF","json":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF.json","graph_json":"https://pith.science/api/pith-number/5M37LETR6TJZF37Q7ZCCT5BRHF/graph.json","events_json":"https://pith.science/api/pith-number/5M37LETR6TJZF37Q7ZCCT5BRHF/events.json","paper":"https://pith.science/paper/5M37LETR"},"agent_actions":{"view_html":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF","download_json":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF.json","view_paper":"https://pith.science/paper/5M37LETR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2504.09767&json=true","fetch_graph":"https://pith.science/api/pith-number/5M37LETR6TJZF37Q7ZCCT5BRHF/graph.json","fetch_events":"https://pith.science/api/pith-number/5M37LETR6TJZF37Q7ZCCT5BRHF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF/action/storage_attestation","attest_author":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF/action/author_attestation","sign_citation":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF/action/citation_signature","submit_replication":"https://pith.science/pith/5M37LETR6TJZF37Q7ZCCT5BRHF/action/replication_record"}},"created_at":"2026-07-05T10:48:42.336574+00:00","updated_at":"2026-07-05T10:48:42.336574+00:00"}