{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:4VLRWXISWWHL2QDODXRRD2IIDS","short_pith_number":"pith:4VLRWXIS","schema_version":"1.0","canonical_sha256":"e5571b5d12b58ebd406e1de311e9081c8d5d6a5a8f4ef30d8d7f366b0a9bad39","source":{"kind":"arxiv","id":"2508.05339","version":1},"attestation_state":"computed","paper":{"title":"Material-Driven Optimization of Transmon Qubits for Scalable and Efficient Quantum Architectures","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.optics"],"primary_cat":"quant-ph","authors_text":"Jonnalagadda Gayatri, S.Saravana Veni","submitted_at":"2025-08-07T12:41:04Z","abstract_excerpt":"One of the most crucial steps in creating practical quantum computers is designing scalable and efficient superconducting qubits. Coherence times, connections between individual qubits, and reduction of environmental noise are critical factors in the success of these qubits. Because they can be lithographically fabricated and are less sensitive to charge noise, superconducting qubits, especially those based on the Transmon architecture, have emerged as top contenders for scalable platforms. In this work, we use a combination of design iteration, material analysis, and simulation to tackle the "},"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":"2508.05339","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-08-07T12:41:04Z","cross_cats_sorted":["physics.optics"],"title_canon_sha256":"e59a104eb45aec4b307d0a33cac954905a4e346c3eba57652d5ebdae7c2a0a2c","abstract_canon_sha256":"81c4b8f455212bb36d40e19236e3059b107281c9b92f4bf600392f8ffdb1643b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:50:10.985031Z","signature_b64":"D3Xb0DT5LTH/qNJl7jE9Ulk0vX/0x6UT7/NskX481bKiD+5Dlbe1vLNGVIVF3QIbhSqslCcTxE/97uz0xhlkDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5571b5d12b58ebd406e1de311e9081c8d5d6a5a8f4ef30d8d7f366b0a9bad39","last_reissued_at":"2026-07-05T11:50:10.984563Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:50:10.984563Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Material-Driven Optimization of Transmon Qubits for Scalable and Efficient Quantum Architectures","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.optics"],"primary_cat":"quant-ph","authors_text":"Jonnalagadda Gayatri, S.Saravana Veni","submitted_at":"2025-08-07T12:41:04Z","abstract_excerpt":"One of the most crucial steps in creating practical quantum computers is designing scalable and efficient superconducting qubits. Coherence times, connections between individual qubits, and reduction of environmental noise are critical factors in the success of these qubits. Because they can be lithographically fabricated and are less sensitive to charge noise, superconducting qubits, especially those based on the Transmon architecture, have emerged as top contenders for scalable platforms. In this work, we use a combination of design iteration, material analysis, and simulation to tackle the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.05339","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/2508.05339/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":"2508.05339","created_at":"2026-07-05T11:50:10.984627+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.05339v1","created_at":"2026-07-05T11:50:10.984627+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.05339","created_at":"2026-07-05T11:50:10.984627+00:00"},{"alias_kind":"pith_short_12","alias_value":"4VLRWXISWWHL","created_at":"2026-07-05T11:50:10.984627+00:00"},{"alias_kind":"pith_short_16","alias_value":"4VLRWXISWWHL2QDO","created_at":"2026-07-05T11:50:10.984627+00:00"},{"alias_kind":"pith_short_8","alias_value":"4VLRWXIS","created_at":"2026-07-05T11:50:10.984627+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/4VLRWXISWWHL2QDODXRRD2IIDS","json":"https://pith.science/pith/4VLRWXISWWHL2QDODXRRD2IIDS.json","graph_json":"https://pith.science/api/pith-number/4VLRWXISWWHL2QDODXRRD2IIDS/graph.json","events_json":"https://pith.science/api/pith-number/4VLRWXISWWHL2QDODXRRD2IIDS/events.json","paper":"https://pith.science/paper/4VLRWXIS"},"agent_actions":{"view_html":"https://pith.science/pith/4VLRWXISWWHL2QDODXRRD2IIDS","download_json":"https://pith.science/pith/4VLRWXISWWHL2QDODXRRD2IIDS.json","view_paper":"https://pith.science/paper/4VLRWXIS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.05339&json=true","fetch_graph":"https://pith.science/api/pith-number/4VLRWXISWWHL2QDODXRRD2IIDS/graph.json","fetch_events":"https://pith.science/api/pith-number/4VLRWXISWWHL2QDODXRRD2IIDS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4VLRWXISWWHL2QDODXRRD2IIDS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4VLRWXISWWHL2QDODXRRD2IIDS/action/storage_attestation","attest_author":"https://pith.science/pith/4VLRWXISWWHL2QDODXRRD2IIDS/action/author_attestation","sign_citation":"https://pith.science/pith/4VLRWXISWWHL2QDODXRRD2IIDS/action/citation_signature","submit_replication":"https://pith.science/pith/4VLRWXISWWHL2QDODXRRD2IIDS/action/replication_record"}},"created_at":"2026-07-05T11:50:10.984627+00:00","updated_at":"2026-07-05T11:50:10.984627+00:00"}