{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:VVF3LDGTJR2ZS4ONHZTJWJTC6W","short_pith_number":"pith:VVF3LDGT","schema_version":"1.0","canonical_sha256":"ad4bb58cd34c759971cd3e669b2662f5968e568dbd196c694a6519358d98382b","source":{"kind":"arxiv","id":"2304.06599","version":1},"attestation_state":"computed","paper":{"title":"Randomized compiling for subsystem measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Joel J. Wallman, Stefanie J. Beale","submitted_at":"2023-04-13T15:06:11Z","abstract_excerpt":"Measurements are a vital part of any quantum computation, whether as a final step to retrieve results, as an intermediate step to inform subsequent operations, or as part of the computation itself (as in measurement-based quantum computing). However, measurements, like any aspect of a quantum system, are highly error-prone and difficult to model. In this paper, we introduce a new technique based on randomized compiling to transform errors in measurements into a simple form that removes particularly harmful effects and is also easy to analyze. In particular, we show that our technique reduces g"},"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":"2304.06599","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2023-04-13T15:06:11Z","cross_cats_sorted":[],"title_canon_sha256":"fa01ff47a86c11e60b180610393e701f1e98a38f8f3f354fcb6171890e2ad1d1","abstract_canon_sha256":"1a9719a696162ff9eafd8de3a96fb9dcfbc6846d7737d302e6e482d24c68a1f2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:00:45.579805Z","signature_b64":"FCh9HD+bfNHxPk5Zmj67TNQuxVhjzK0vS7vVa8+q5iFdPrAgNE0LiQt0R74tXX867MBJ6kUQvlhClTj7QU9TAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad4bb58cd34c759971cd3e669b2662f5968e568dbd196c694a6519358d98382b","last_reissued_at":"2026-07-05T06:00:45.579378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:00:45.579378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Randomized compiling for subsystem measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Joel J. Wallman, Stefanie J. Beale","submitted_at":"2023-04-13T15:06:11Z","abstract_excerpt":"Measurements are a vital part of any quantum computation, whether as a final step to retrieve results, as an intermediate step to inform subsequent operations, or as part of the computation itself (as in measurement-based quantum computing). However, measurements, like any aspect of a quantum system, are highly error-prone and difficult to model. In this paper, we introduce a new technique based on randomized compiling to transform errors in measurements into a simple form that removes particularly harmful effects and is also easy to analyze. In particular, we show that our technique reduces g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.06599","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/2304.06599/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":"2304.06599","created_at":"2026-07-05T06:00:45.579438+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.06599v1","created_at":"2026-07-05T06:00:45.579438+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.06599","created_at":"2026-07-05T06:00:45.579438+00:00"},{"alias_kind":"pith_short_12","alias_value":"VVF3LDGTJR2Z","created_at":"2026-07-05T06:00:45.579438+00:00"},{"alias_kind":"pith_short_16","alias_value":"VVF3LDGTJR2ZS4ON","created_at":"2026-07-05T06:00:45.579438+00:00"},{"alias_kind":"pith_short_8","alias_value":"VVF3LDGT","created_at":"2026-07-05T06:00:45.579438+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":4,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.29638","citing_title":"Characterization of Unlearnable Noise with Mid-Circuit-Measurement-Based Cycle Benchmarking","ref_index":36,"is_internal_anchor":false},{"citing_arxiv_id":"2606.29638","citing_title":"Characterization of Unlearnable Noise with Mid-Circuit-Measurement-Based Cycle Benchmarking","ref_index":36,"is_internal_anchor":false},{"citing_arxiv_id":"2606.00433","citing_title":"Learning Mid-circuit Measurement Backaction from Three Repeated Measurements","ref_index":42,"is_internal_anchor":false},{"citing_arxiv_id":"2604.18884","citing_title":"Understanding Quantum Instruments","ref_index":14,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W","json":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W.json","graph_json":"https://pith.science/api/pith-number/VVF3LDGTJR2ZS4ONHZTJWJTC6W/graph.json","events_json":"https://pith.science/api/pith-number/VVF3LDGTJR2ZS4ONHZTJWJTC6W/events.json","paper":"https://pith.science/paper/VVF3LDGT"},"agent_actions":{"view_html":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W","download_json":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W.json","view_paper":"https://pith.science/paper/VVF3LDGT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.06599&json=true","fetch_graph":"https://pith.science/api/pith-number/VVF3LDGTJR2ZS4ONHZTJWJTC6W/graph.json","fetch_events":"https://pith.science/api/pith-number/VVF3LDGTJR2ZS4ONHZTJWJTC6W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W/action/storage_attestation","attest_author":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W/action/author_attestation","sign_citation":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W/action/citation_signature","submit_replication":"https://pith.science/pith/VVF3LDGTJR2ZS4ONHZTJWJTC6W/action/replication_record"}},"created_at":"2026-07-05T06:00:45.579438+00:00","updated_at":"2026-07-05T06:00:45.579438+00:00"}