{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:QG3GDYUCPHQHHHTMT2XGMYOSB3","short_pith_number":"pith:QG3GDYUC","schema_version":"1.0","canonical_sha256":"81b661e28279e0739e6c9eae6661d20ef6393a7beafbe99e9c6d5185ade0dcbf","source":{"kind":"arxiv","id":"2209.03837","version":2},"attestation_state":"computed","paper":{"title":"Tuning arrays with rays: Physics-informed tuning of quantum dot charge states","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","quant-ph"],"primary_cat":"cond-mat.mes-hall","authors_text":"Felix Borjans, Florian Luthi, Guoji Zheng, Joshua Ziegler, Justyna P. Zwolak, Mick Ramsey","submitted_at":"2022-09-08T14:17:49Z","abstract_excerpt":"Quantum computers based on gate-defined quantum dots (QDs) are expected to scale. However, as the number of qubits increases, the burden of manually calibrating these systems becomes unreasonable and autonomous tuning must be used. There has been a range of recent demonstrations of automated tuning of various QD parameters such as coarse gate ranges, global state topology (e.g. single QD, double QD), charge, and tunnel coupling with a variety of methods. Here, we demonstrate an intuitive, reliable, and data-efficient set of tools for an automated global state and charge tuning in a framework d"},"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":"2209.03837","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cond-mat.mes-hall","submitted_at":"2022-09-08T14:17:49Z","cross_cats_sorted":["cs.CV","cs.LG","quant-ph"],"title_canon_sha256":"521f31c08c994a26db54be8d1fb1de82cbbc94b7ab1918f560a2851ca1aa81e8","abstract_canon_sha256":"ac7d8fc233121787e8e63de8135131f0b0f08effda76bcd5c79a63874fc7f848"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:55:21.419036Z","signature_b64":"LBAzOZaKwSuQUqWgXDyrlaxoDfSRPYz00uu66EiNlgevlmPWyiDkFt8i42iOZXdYZZkHDYEDyauPihr07e7DBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81b661e28279e0739e6c9eae6661d20ef6393a7beafbe99e9c6d5185ade0dcbf","last_reissued_at":"2026-07-05T06:55:21.418627Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:55:21.418627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Tuning arrays with rays: Physics-informed tuning of quantum dot charge states","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.LG","quant-ph"],"primary_cat":"cond-mat.mes-hall","authors_text":"Felix Borjans, Florian Luthi, Guoji Zheng, Joshua Ziegler, Justyna P. Zwolak, Mick Ramsey","submitted_at":"2022-09-08T14:17:49Z","abstract_excerpt":"Quantum computers based on gate-defined quantum dots (QDs) are expected to scale. However, as the number of qubits increases, the burden of manually calibrating these systems becomes unreasonable and autonomous tuning must be used. There has been a range of recent demonstrations of automated tuning of various QD parameters such as coarse gate ranges, global state topology (e.g. single QD, double QD), charge, and tunnel coupling with a variety of methods. Here, we demonstrate an intuitive, reliable, and data-efficient set of tools for an automated global state and charge tuning in a framework d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.03837","kind":"arxiv","version":2},"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/2209.03837/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":"2209.03837","created_at":"2026-07-05T06:55:21.418684+00:00"},{"alias_kind":"arxiv_version","alias_value":"2209.03837v2","created_at":"2026-07-05T06:55:21.418684+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.03837","created_at":"2026-07-05T06:55:21.418684+00:00"},{"alias_kind":"pith_short_12","alias_value":"QG3GDYUCPHQH","created_at":"2026-07-05T06:55:21.418684+00:00"},{"alias_kind":"pith_short_16","alias_value":"QG3GDYUCPHQHHHTM","created_at":"2026-07-05T06:55:21.418684+00:00"},{"alias_kind":"pith_short_8","alias_value":"QG3GDYUC","created_at":"2026-07-05T06:55:21.418684+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/QG3GDYUCPHQHHHTMT2XGMYOSB3","json":"https://pith.science/pith/QG3GDYUCPHQHHHTMT2XGMYOSB3.json","graph_json":"https://pith.science/api/pith-number/QG3GDYUCPHQHHHTMT2XGMYOSB3/graph.json","events_json":"https://pith.science/api/pith-number/QG3GDYUCPHQHHHTMT2XGMYOSB3/events.json","paper":"https://pith.science/paper/QG3GDYUC"},"agent_actions":{"view_html":"https://pith.science/pith/QG3GDYUCPHQHHHTMT2XGMYOSB3","download_json":"https://pith.science/pith/QG3GDYUCPHQHHHTMT2XGMYOSB3.json","view_paper":"https://pith.science/paper/QG3GDYUC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2209.03837&json=true","fetch_graph":"https://pith.science/api/pith-number/QG3GDYUCPHQHHHTMT2XGMYOSB3/graph.json","fetch_events":"https://pith.science/api/pith-number/QG3GDYUCPHQHHHTMT2XGMYOSB3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QG3GDYUCPHQHHHTMT2XGMYOSB3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QG3GDYUCPHQHHHTMT2XGMYOSB3/action/storage_attestation","attest_author":"https://pith.science/pith/QG3GDYUCPHQHHHTMT2XGMYOSB3/action/author_attestation","sign_citation":"https://pith.science/pith/QG3GDYUCPHQHHHTMT2XGMYOSB3/action/citation_signature","submit_replication":"https://pith.science/pith/QG3GDYUCPHQHHHTMT2XGMYOSB3/action/replication_record"}},"created_at":"2026-07-05T06:55:21.418684+00:00","updated_at":"2026-07-05T06:55:21.418684+00:00"}