{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:BGDDJYX2QHNASB275B37EDMZ43","short_pith_number":"pith:BGDDJYX2","schema_version":"1.0","canonical_sha256":"098634e2fa81da09075fe877f20d99e6fa50edd1f03c122d71f401e0a74b60a8","source":{"kind":"arxiv","id":"2403.20267","version":1},"attestation_state":"computed","paper":{"title":"Counterdiabatic, Better, Faster, Stronger: Optimal control for approximate counterdiabatic driving","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Ieva \\v{C}epait\\.e","submitted_at":"2024-03-29T16:18:10Z","abstract_excerpt":"Adiabatic protocols are employed across a variety of quantum technologies, from implementing state preparation and individual operations that are building blocks of larger devices, to higher-level protocols in quantum annealing and adiabatic quantum computation. The main drawback of adiabatic processes, however, is that they require prohibitively long timescales. This generally leads to losses due to decoherence and heating processes. The problem of speeding up system dynamics while retaining the adiabatic condition has garnered a large amount of interest, resulting in a whole host of diverse "},"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":"2403.20267","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2024-03-29T16:18:10Z","cross_cats_sorted":[],"title_canon_sha256":"c481b9c2302a53db3f034155bad79e60304d9817817f20f1e5214b32b8293d0e","abstract_canon_sha256":"5fe006aef7eb7870b07a9ec2f03a886c4e7bdf8b6c27b70be126232b7da9c528"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:02:16.551350Z","signature_b64":"wlLbL8Clej7X/o8JV17scB6wep26/7qLlh4dYkBBSTZgmvUN0e08h5qFp6nPbwBCE1jkbxgSi7F7FyXbYSbkBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"098634e2fa81da09075fe877f20d99e6fa50edd1f03c122d71f401e0a74b60a8","last_reissued_at":"2026-07-05T08:02:16.550684Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:02:16.550684Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Counterdiabatic, Better, Faster, Stronger: Optimal control for approximate counterdiabatic driving","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Ieva \\v{C}epait\\.e","submitted_at":"2024-03-29T16:18:10Z","abstract_excerpt":"Adiabatic protocols are employed across a variety of quantum technologies, from implementing state preparation and individual operations that are building blocks of larger devices, to higher-level protocols in quantum annealing and adiabatic quantum computation. The main drawback of adiabatic processes, however, is that they require prohibitively long timescales. This generally leads to losses due to decoherence and heating processes. The problem of speeding up system dynamics while retaining the adiabatic condition has garnered a large amount of interest, resulting in a whole host of diverse "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.20267","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/2403.20267/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":"2403.20267","created_at":"2026-07-05T08:02:16.550757+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.20267v1","created_at":"2026-07-05T08:02:16.550757+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.20267","created_at":"2026-07-05T08:02:16.550757+00:00"},{"alias_kind":"pith_short_12","alias_value":"BGDDJYX2QHNA","created_at":"2026-07-05T08:02:16.550757+00:00"},{"alias_kind":"pith_short_16","alias_value":"BGDDJYX2QHNASB27","created_at":"2026-07-05T08:02:16.550757+00:00"},{"alias_kind":"pith_short_8","alias_value":"BGDDJYX2","created_at":"2026-07-05T08:02:16.550757+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.16163","citing_title":"Improving adiabatic quantum factorization via chopped random-basis optimization","ref_index":91,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43","json":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43.json","graph_json":"https://pith.science/api/pith-number/BGDDJYX2QHNASB275B37EDMZ43/graph.json","events_json":"https://pith.science/api/pith-number/BGDDJYX2QHNASB275B37EDMZ43/events.json","paper":"https://pith.science/paper/BGDDJYX2"},"agent_actions":{"view_html":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43","download_json":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43.json","view_paper":"https://pith.science/paper/BGDDJYX2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.20267&json=true","fetch_graph":"https://pith.science/api/pith-number/BGDDJYX2QHNASB275B37EDMZ43/graph.json","fetch_events":"https://pith.science/api/pith-number/BGDDJYX2QHNASB275B37EDMZ43/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43/action/storage_attestation","attest_author":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43/action/author_attestation","sign_citation":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43/action/citation_signature","submit_replication":"https://pith.science/pith/BGDDJYX2QHNASB275B37EDMZ43/action/replication_record"}},"created_at":"2026-07-05T08:02:16.550757+00:00","updated_at":"2026-07-05T08:02:16.550757+00:00"}