{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:IPIMPEYJ6WFLBZBIQU5HGQZRHN","short_pith_number":"pith:IPIMPEYJ","schema_version":"1.0","canonical_sha256":"43d0c79309f58ab0e428853a7343313b41bc02dd27de2f91a2498d891cf21256","source":{"kind":"arxiv","id":"2502.03445","version":1},"attestation_state":"computed","paper":{"title":"TensorQC: Towards Scalable Distributed Quantum Computing via Tensor Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["quant-ph"],"primary_cat":"cs.ET","authors_text":"Margaret Martonosi, Wei Tang","submitted_at":"2025-02-05T18:42:07Z","abstract_excerpt":"A quantum processing unit (QPU) must contain a large number of high quality qubits to produce accurate results for problems at useful scales. In contrast, most scientific and industry classical computation workloads happen in parallel on distributed systems, which rely on copying data across multiple cores. Unfortunately, copying quantum data is theoretically prohibited due to the quantum non-cloning theory. Instead, quantum circuit cutting techniques cut a large quantum circuit into multiple smaller subcircuits, distribute the subcircuits on parallel QPUs and reconstruct the results with clas"},"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":"2502.03445","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.ET","submitted_at":"2025-02-05T18:42:07Z","cross_cats_sorted":["quant-ph"],"title_canon_sha256":"dbfd6e799e1476d978f98edd2d5e40f6e072f6ee69a58e47fac58de9a962a4a1","abstract_canon_sha256":"e2131c241de4c0557d3b9679e7cb005615ed8ad9124f125f40cee0882b7720ed"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:10:04.915450Z","signature_b64":"sLY1Htg8Oz2vfGlSzQhrCTrbitA010NLHgjTwYrTy6aMCAjUgYwhGyh5QeOZK3S1Xn29EiWLXE0FR9fqcqjuDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"43d0c79309f58ab0e428853a7343313b41bc02dd27de2f91a2498d891cf21256","last_reissued_at":"2026-07-05T10:10:04.914978Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:10:04.914978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TensorQC: Towards Scalable Distributed Quantum Computing via Tensor Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["quant-ph"],"primary_cat":"cs.ET","authors_text":"Margaret Martonosi, Wei Tang","submitted_at":"2025-02-05T18:42:07Z","abstract_excerpt":"A quantum processing unit (QPU) must contain a large number of high quality qubits to produce accurate results for problems at useful scales. In contrast, most scientific and industry classical computation workloads happen in parallel on distributed systems, which rely on copying data across multiple cores. Unfortunately, copying quantum data is theoretically prohibited due to the quantum non-cloning theory. Instead, quantum circuit cutting techniques cut a large quantum circuit into multiple smaller subcircuits, distribute the subcircuits on parallel QPUs and reconstruct the results with clas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.03445","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/2502.03445/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":"2502.03445","created_at":"2026-07-05T10:10:04.915033+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.03445v1","created_at":"2026-07-05T10:10:04.915033+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.03445","created_at":"2026-07-05T10:10:04.915033+00:00"},{"alias_kind":"pith_short_12","alias_value":"IPIMPEYJ6WFL","created_at":"2026-07-05T10:10:04.915033+00:00"},{"alias_kind":"pith_short_16","alias_value":"IPIMPEYJ6WFLBZBI","created_at":"2026-07-05T10:10:04.915033+00:00"},{"alias_kind":"pith_short_8","alias_value":"IPIMPEYJ","created_at":"2026-07-05T10:10:04.915033+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.10939","citing_title":"Towards a Utility-Scale Quantum Edge Detection for Real-World Medical Image Data","ref_index":6,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN","json":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN.json","graph_json":"https://pith.science/api/pith-number/IPIMPEYJ6WFLBZBIQU5HGQZRHN/graph.json","events_json":"https://pith.science/api/pith-number/IPIMPEYJ6WFLBZBIQU5HGQZRHN/events.json","paper":"https://pith.science/paper/IPIMPEYJ"},"agent_actions":{"view_html":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN","download_json":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN.json","view_paper":"https://pith.science/paper/IPIMPEYJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.03445&json=true","fetch_graph":"https://pith.science/api/pith-number/IPIMPEYJ6WFLBZBIQU5HGQZRHN/graph.json","fetch_events":"https://pith.science/api/pith-number/IPIMPEYJ6WFLBZBIQU5HGQZRHN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN/action/storage_attestation","attest_author":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN/action/author_attestation","sign_citation":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN/action/citation_signature","submit_replication":"https://pith.science/pith/IPIMPEYJ6WFLBZBIQU5HGQZRHN/action/replication_record"}},"created_at":"2026-07-05T10:10:04.915033+00:00","updated_at":"2026-07-05T10:10:04.915033+00:00"}