{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:W22JFBKAQDWGAAYAL67HNEFDPY","short_pith_number":"pith:W22JFBKA","schema_version":"1.0","canonical_sha256":"b6b492854080ec6003005fbe7690a37e3ce0303c9e3d1ccdc75759ef828ef8ca","source":{"kind":"arxiv","id":"2304.00045","version":1},"attestation_state":"computed","paper":{"title":"PyQBench: a Python library for benchmarking gate-based quantum computers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Konrad Ja{\\l}owiecki, {\\L}ukasz Pawela, Paulina Lewandowska","submitted_at":"2023-03-31T18:02:43Z","abstract_excerpt":"We introduce PyQBench, an innovative open-source framework for benchmarking gate-based quantum computers. PyQBench can benchmark NISQ devices by verifying their capability of discriminating between two von Neumann measurements. PyQBench offers a simplified, ready-to-use, command line interface (CLI) for running benchmarks using a predefined parametrized Fourier family of measurements. For more advanced scenarios, PyQBench offers a way of employing user-defined measurements instead of predefined ones."},"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":"2304.00045","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2023-03-31T18:02:43Z","cross_cats_sorted":[],"title_canon_sha256":"2641c09ed247f9a7f8dda8e05abe0bda963766f4a06d6b99aad409d12b25b1b1","abstract_canon_sha256":"806aee18fb81f67f7d640030bf665c9644e9e94d26934f4f5047a4700f86c437"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:23:49.500010Z","signature_b64":"MtfaUn3esy0s27SzSKK1LO8gxBTWMXOE8WDr7zr+MCCHO5RRe/54wiusotBgG129RdsF7laI30fD8gWqRDgIAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b6b492854080ec6003005fbe7690a37e3ce0303c9e3d1ccdc75759ef828ef8ca","last_reissued_at":"2026-07-05T07:23:49.499570Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:23:49.499570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PyQBench: a Python library for benchmarking gate-based quantum computers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Konrad Ja{\\l}owiecki, {\\L}ukasz Pawela, Paulina Lewandowska","submitted_at":"2023-03-31T18:02:43Z","abstract_excerpt":"We introduce PyQBench, an innovative open-source framework for benchmarking gate-based quantum computers. PyQBench can benchmark NISQ devices by verifying their capability of discriminating between two von Neumann measurements. PyQBench offers a simplified, ready-to-use, command line interface (CLI) for running benchmarks using a predefined parametrized Fourier family of measurements. For more advanced scenarios, PyQBench offers a way of employing user-defined measurements instead of predefined ones."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00045","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/2304.00045/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":"2304.00045","created_at":"2026-07-05T07:23:49.499625+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.00045v1","created_at":"2026-07-05T07:23:49.499625+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00045","created_at":"2026-07-05T07:23:49.499625+00:00"},{"alias_kind":"pith_short_12","alias_value":"W22JFBKAQDWG","created_at":"2026-07-05T07:23:49.499625+00:00"},{"alias_kind":"pith_short_16","alias_value":"W22JFBKAQDWGAAYA","created_at":"2026-07-05T07:23:49.499625+00:00"},{"alias_kind":"pith_short_8","alias_value":"W22JFBKA","created_at":"2026-07-05T07:23:49.499625+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/W22JFBKAQDWGAAYAL67HNEFDPY","json":"https://pith.science/pith/W22JFBKAQDWGAAYAL67HNEFDPY.json","graph_json":"https://pith.science/api/pith-number/W22JFBKAQDWGAAYAL67HNEFDPY/graph.json","events_json":"https://pith.science/api/pith-number/W22JFBKAQDWGAAYAL67HNEFDPY/events.json","paper":"https://pith.science/paper/W22JFBKA"},"agent_actions":{"view_html":"https://pith.science/pith/W22JFBKAQDWGAAYAL67HNEFDPY","download_json":"https://pith.science/pith/W22JFBKAQDWGAAYAL67HNEFDPY.json","view_paper":"https://pith.science/paper/W22JFBKA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.00045&json=true","fetch_graph":"https://pith.science/api/pith-number/W22JFBKAQDWGAAYAL67HNEFDPY/graph.json","fetch_events":"https://pith.science/api/pith-number/W22JFBKAQDWGAAYAL67HNEFDPY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W22JFBKAQDWGAAYAL67HNEFDPY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W22JFBKAQDWGAAYAL67HNEFDPY/action/storage_attestation","attest_author":"https://pith.science/pith/W22JFBKAQDWGAAYAL67HNEFDPY/action/author_attestation","sign_citation":"https://pith.science/pith/W22JFBKAQDWGAAYAL67HNEFDPY/action/citation_signature","submit_replication":"https://pith.science/pith/W22JFBKAQDWGAAYAL67HNEFDPY/action/replication_record"}},"created_at":"2026-07-05T07:23:49.499625+00:00","updated_at":"2026-07-05T07:23:49.499625+00:00"}