{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:YAZV5KKDBTF5B7JVI4JWRDVEP2","short_pith_number":"pith:YAZV5KKD","schema_version":"1.0","canonical_sha256":"c0335ea9430ccbd0fd354713688ea47ea9d4a66c579d539c2e7a4e0477a714c4","source":{"kind":"arxiv","id":"2507.16128","version":1},"attestation_state":"computed","paper":{"title":"Optimal schedule of multi-channel quantum Zeno dragging with application to solving the k-SAT problem","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Alain Sarlette, K. Birgitta Whaley, Philippe Lewalle, Tathagata Karmakar, Yipei Zhang","submitted_at":"2025-07-22T00:46:19Z","abstract_excerpt":"Quantum Zeno dragging enables the preparation of common eigenstates of a set of observables by frequent measurement and adiabatic-like modulation of the measurement basis. In this work, we present a deeper analysis of multi-channel Zeno dragging using generalized measurements, i.e. simultaneously measuring a set of non-commuting observables that vary slowly in time, to drag the state towards a target subspace. For concreteness, we will focus on a measurement-driven approach to solving k-SAT problems as examples. We first compute some analytical upper bounds on the convergence time, including t"},"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":"2507.16128","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"quant-ph","submitted_at":"2025-07-22T00:46:19Z","cross_cats_sorted":[],"title_canon_sha256":"17cc560edde253ce421ed7be71372be00f02efe8ac59c617eb2a9b129ee13281","abstract_canon_sha256":"63afbb2856f34e80eb9253860b35245e6aa496713ef270c0608404ec7d4d6bad"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:41:03.435560Z","signature_b64":"lMzyGW4YV8KkIBf9WGxJFN3qlHLOJt2UCl18O5hMtiErBfcxqlECotmY5URw962sM3nco7XQrXyevER/wlRWCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c0335ea9430ccbd0fd354713688ea47ea9d4a66c579d539c2e7a4e0477a714c4","last_reissued_at":"2026-07-05T11:41:03.434806Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:41:03.434806Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal schedule of multi-channel quantum Zeno dragging with application to solving the k-SAT problem","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"quant-ph","authors_text":"Alain Sarlette, K. Birgitta Whaley, Philippe Lewalle, Tathagata Karmakar, Yipei Zhang","submitted_at":"2025-07-22T00:46:19Z","abstract_excerpt":"Quantum Zeno dragging enables the preparation of common eigenstates of a set of observables by frequent measurement and adiabatic-like modulation of the measurement basis. In this work, we present a deeper analysis of multi-channel Zeno dragging using generalized measurements, i.e. simultaneously measuring a set of non-commuting observables that vary slowly in time, to drag the state towards a target subspace. For concreteness, we will focus on a measurement-driven approach to solving k-SAT problems as examples. We first compute some analytical upper bounds on the convergence time, including t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.16128","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/2507.16128/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":"2507.16128","created_at":"2026-07-05T11:41:03.435057+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.16128v1","created_at":"2026-07-05T11:41:03.435057+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.16128","created_at":"2026-07-05T11:41:03.435057+00:00"},{"alias_kind":"pith_short_12","alias_value":"YAZV5KKDBTF5","created_at":"2026-07-05T11:41:03.435057+00:00"},{"alias_kind":"pith_short_16","alias_value":"YAZV5KKDBTF5B7JV","created_at":"2026-07-05T11:41:03.435057+00:00"},{"alias_kind":"pith_short_8","alias_value":"YAZV5KKD","created_at":"2026-07-05T11:41:03.435057+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":2,"sample":[{"citing_arxiv_id":"2606.01589","citing_title":"Towards Heisenberg Scaling: Measurement-Efficient Non-Orthogonal Quantum Eigensolver","ref_index":6,"is_internal_anchor":true},{"citing_arxiv_id":"2605.18367","citing_title":"Zeno-Assisted Quantum Heat Engines","ref_index":65,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2","json":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2.json","graph_json":"https://pith.science/api/pith-number/YAZV5KKDBTF5B7JVI4JWRDVEP2/graph.json","events_json":"https://pith.science/api/pith-number/YAZV5KKDBTF5B7JVI4JWRDVEP2/events.json","paper":"https://pith.science/paper/YAZV5KKD"},"agent_actions":{"view_html":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2","download_json":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2.json","view_paper":"https://pith.science/paper/YAZV5KKD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.16128&json=true","fetch_graph":"https://pith.science/api/pith-number/YAZV5KKDBTF5B7JVI4JWRDVEP2/graph.json","fetch_events":"https://pith.science/api/pith-number/YAZV5KKDBTF5B7JVI4JWRDVEP2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2/action/storage_attestation","attest_author":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2/action/author_attestation","sign_citation":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2/action/citation_signature","submit_replication":"https://pith.science/pith/YAZV5KKDBTF5B7JVI4JWRDVEP2/action/replication_record"}},"created_at":"2026-07-05T11:41:03.435057+00:00","updated_at":"2026-07-05T11:41:03.435057+00:00"}