{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:GCTIVAAVLAXLT2RQV4D5JTASML","short_pith_number":"pith:GCTIVAAV","schema_version":"1.0","canonical_sha256":"30a68a8015582eb9ea30af07d4cc1262eb2fccac4b53297661e365620e9be5db","source":{"kind":"arxiv","id":"2409.06159","version":1},"attestation_state":"computed","paper":{"title":"Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"quant-ph","authors_text":"Chad A. Steed, Junghoon Chae, Travis S. Humble","submitted_at":"2024-09-10T02:09:55Z","abstract_excerpt":"Driven by potential exponential speedups in business, security, and scientific scenarios, interest in quantum computing is surging. This interest feeds the development of quantum computing hardware, but several challenges arise in optimizing application performance for hardware metrics (e.g., qubit coherence and gate fidelity). In this work, we describe a visual analytics approach for analyzing the performance properties of quantum devices and quantum circuit optimization. Our approach allows users to explore spatial and temporal patterns in quantum device performance data and it computes simi"},"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":"2409.06159","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-09-10T02:09:55Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"30f24b6ff2a2ca9e01b8d2cbd860bb8b31d23efcb2d068e783a244c180c13a7a","abstract_canon_sha256":"d8bbbac34a9cba0b61eb74849ca366ab699497eb53f2ffdd92bd3449862a05c3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:05:02.849786Z","signature_b64":"p98+XM3PUFafqpkTGgs6xwTxPC5UO7SwO7Ih1ljk+Mrt/kecx/JAEGnJFVh7B5Mqt0VOvH+G5PN2AluAsJwcAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30a68a8015582eb9ea30af07d4cc1262eb2fccac4b53297661e365620e9be5db","last_reissued_at":"2026-07-05T09:05:02.849281Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:05:02.849281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Visual Analytics of Performance of Quantum Computing Systems and Circuit Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"quant-ph","authors_text":"Chad A. Steed, Junghoon Chae, Travis S. Humble","submitted_at":"2024-09-10T02:09:55Z","abstract_excerpt":"Driven by potential exponential speedups in business, security, and scientific scenarios, interest in quantum computing is surging. This interest feeds the development of quantum computing hardware, but several challenges arise in optimizing application performance for hardware metrics (e.g., qubit coherence and gate fidelity). In this work, we describe a visual analytics approach for analyzing the performance properties of quantum devices and quantum circuit optimization. Our approach allows users to explore spatial and temporal patterns in quantum device performance data and it computes simi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.06159","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/2409.06159/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":"2409.06159","created_at":"2026-07-05T09:05:02.849339+00:00"},{"alias_kind":"arxiv_version","alias_value":"2409.06159v1","created_at":"2026-07-05T09:05:02.849339+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.06159","created_at":"2026-07-05T09:05:02.849339+00:00"},{"alias_kind":"pith_short_12","alias_value":"GCTIVAAVLAXL","created_at":"2026-07-05T09:05:02.849339+00:00"},{"alias_kind":"pith_short_16","alias_value":"GCTIVAAVLAXLT2RQ","created_at":"2026-07-05T09:05:02.849339+00:00"},{"alias_kind":"pith_short_8","alias_value":"GCTIVAAV","created_at":"2026-07-05T09:05:02.849339+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/GCTIVAAVLAXLT2RQV4D5JTASML","json":"https://pith.science/pith/GCTIVAAVLAXLT2RQV4D5JTASML.json","graph_json":"https://pith.science/api/pith-number/GCTIVAAVLAXLT2RQV4D5JTASML/graph.json","events_json":"https://pith.science/api/pith-number/GCTIVAAVLAXLT2RQV4D5JTASML/events.json","paper":"https://pith.science/paper/GCTIVAAV"},"agent_actions":{"view_html":"https://pith.science/pith/GCTIVAAVLAXLT2RQV4D5JTASML","download_json":"https://pith.science/pith/GCTIVAAVLAXLT2RQV4D5JTASML.json","view_paper":"https://pith.science/paper/GCTIVAAV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2409.06159&json=true","fetch_graph":"https://pith.science/api/pith-number/GCTIVAAVLAXLT2RQV4D5JTASML/graph.json","fetch_events":"https://pith.science/api/pith-number/GCTIVAAVLAXLT2RQV4D5JTASML/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GCTIVAAVLAXLT2RQV4D5JTASML/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GCTIVAAVLAXLT2RQV4D5JTASML/action/storage_attestation","attest_author":"https://pith.science/pith/GCTIVAAVLAXLT2RQV4D5JTASML/action/author_attestation","sign_citation":"https://pith.science/pith/GCTIVAAVLAXLT2RQV4D5JTASML/action/citation_signature","submit_replication":"https://pith.science/pith/GCTIVAAVLAXLT2RQV4D5JTASML/action/replication_record"}},"created_at":"2026-07-05T09:05:02.849339+00:00","updated_at":"2026-07-05T09:05:02.849339+00:00"}