{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:HCLIN4GJROTVZA3N5GPRBV7KM6","short_pith_number":"pith:HCLIN4GJ","schema_version":"1.0","canonical_sha256":"389686f0c98ba75c836de99f10d7ea67a0bd05f04093f1493a3eb0d1f652a0e5","source":{"kind":"arxiv","id":"2411.07916","version":1},"attestation_state":"computed","paper":{"title":"Scalable General Error Mitigation for Quantum Circuits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Fengping Jin, Hans De Raedt, Jannik Pflieger, Kristel Michielsen, Manpreet Singh Jattana, Philip D\\\"obler, Thomas Lippert","submitted_at":"2024-11-12T16:47:36Z","abstract_excerpt":"In quantum computing, error mitigation is a method to improve the results of an error-prone quantum processor by post-processing them on a classical computer. In this work, we improve the General Error Mitigation (GEM) method for scalability. GEM relies on the use of a matrix to represent the device error, which requires the execution of $2^{n+1}$ calibration circuits on the quantum hardware, where $n$ is the number of qubits. With our improved method, the number of calibration runs is independent of the number of qubits and depends only on the number of non-zero states in the output distribut"},"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":"2411.07916","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2024-11-12T16:47:36Z","cross_cats_sorted":[],"title_canon_sha256":"edcb6f6c4c2e70d8067ee8d2def3001e0b5522fe79909b67ff32275db6113a57","abstract_canon_sha256":"08c774b92fe0b38f84e5fd1670919c6fc8a1d5f7354789594d239aaf7bae8e14"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:34:30.163853Z","signature_b64":"kSBQwN3sOZpsrxSnH9lDdh7r1HISdDzxQwlzFW4nqzISud7EcsHF/fjwA4wQxoamFK4+nOaCSugm3H5c0h6uAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"389686f0c98ba75c836de99f10d7ea67a0bd05f04093f1493a3eb0d1f652a0e5","last_reissued_at":"2026-07-05T09:34:30.163456Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:34:30.163456Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Scalable General Error Mitigation for Quantum Circuits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Fengping Jin, Hans De Raedt, Jannik Pflieger, Kristel Michielsen, Manpreet Singh Jattana, Philip D\\\"obler, Thomas Lippert","submitted_at":"2024-11-12T16:47:36Z","abstract_excerpt":"In quantum computing, error mitigation is a method to improve the results of an error-prone quantum processor by post-processing them on a classical computer. In this work, we improve the General Error Mitigation (GEM) method for scalability. GEM relies on the use of a matrix to represent the device error, which requires the execution of $2^{n+1}$ calibration circuits on the quantum hardware, where $n$ is the number of qubits. With our improved method, the number of calibration runs is independent of the number of qubits and depends only on the number of non-zero states in the output distribut"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.07916","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/2411.07916/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":"2411.07916","created_at":"2026-07-05T09:34:30.163513+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.07916v1","created_at":"2026-07-05T09:34:30.163513+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.07916","created_at":"2026-07-05T09:34:30.163513+00:00"},{"alias_kind":"pith_short_12","alias_value":"HCLIN4GJROTV","created_at":"2026-07-05T09:34:30.163513+00:00"},{"alias_kind":"pith_short_16","alias_value":"HCLIN4GJROTVZA3N","created_at":"2026-07-05T09:34:30.163513+00:00"},{"alias_kind":"pith_short_8","alias_value":"HCLIN4GJ","created_at":"2026-07-05T09:34:30.163513+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.13436","citing_title":"Q-AIM: A Unified Portable Workflow for Seamless Integration of Quantum Resources","ref_index":49,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6","json":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6.json","graph_json":"https://pith.science/api/pith-number/HCLIN4GJROTVZA3N5GPRBV7KM6/graph.json","events_json":"https://pith.science/api/pith-number/HCLIN4GJROTVZA3N5GPRBV7KM6/events.json","paper":"https://pith.science/paper/HCLIN4GJ"},"agent_actions":{"view_html":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6","download_json":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6.json","view_paper":"https://pith.science/paper/HCLIN4GJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.07916&json=true","fetch_graph":"https://pith.science/api/pith-number/HCLIN4GJROTVZA3N5GPRBV7KM6/graph.json","fetch_events":"https://pith.science/api/pith-number/HCLIN4GJROTVZA3N5GPRBV7KM6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6/action/storage_attestation","attest_author":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6/action/author_attestation","sign_citation":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6/action/citation_signature","submit_replication":"https://pith.science/pith/HCLIN4GJROTVZA3N5GPRBV7KM6/action/replication_record"}},"created_at":"2026-07-05T09:34:30.163513+00:00","updated_at":"2026-07-05T09:34:30.163513+00:00"}