{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:6FOE6I7Z5VF4R76KSEEC3WXKUJ","short_pith_number":"pith:6FOE6I7Z","schema_version":"1.0","canonical_sha256":"f15c4f23f9ed4bc8ffca91082ddaeaa257031c86abd0442b6b925c3685e86622","source":{"kind":"arxiv","id":"2501.18432","version":3},"attestation_state":"computed","paper":{"title":"Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.ET"],"primary_cat":"quant-ph","authors_text":"Alejandra Ruiz, Andreas Oikonomakis, Eneko Osaba, Matic Petri\\v{c}, Michail-Alexandros Kourtis, Pablo Miranda-Rodriguez, Sebastian Bock","submitted_at":"2025-01-30T15:38:40Z","abstract_excerpt":"This paper presents a novel hybrid approach to solving real-world drone routing problems by leveraging the capabilities of quantum computing. The proposed method, coined Quantum for Drone Routing (Q4DR), integrates the two most prominent paradigms in the field: quantum gate-based computing, through the Eclipse Qrisp programming language; and quantum annealers, by means of D-Wave System's devices. The algorithm is divided into two different phases: an initial clustering phase executed using a Quantum Approximate Optimization Algorithm (QAOA), and a routing phase employing quantum annealers. 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":"2501.18432","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"quant-ph","submitted_at":"2025-01-30T15:38:40Z","cross_cats_sorted":["cs.AI","cs.ET"],"title_canon_sha256":"27aedea3bdfa547b66a9e6595f35f802076059fa35ffddbee522b8829bd51425","abstract_canon_sha256":"5f0d40ef5d827715bf704a1f418e825b99927f94b6d8c0f5759cca6ef91a6dd5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:36:35.090775Z","signature_b64":"gxTMERpFAxVkShivgxkE4UmNuzCy7D8vg6J0TmVCNlrsHMY7IWrd3FZwXWEgny5fyyu30jSpmvwad/sCBJfPCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f15c4f23f9ed4bc8ffca91082ddaeaa257031c86abd0442b6b925c3685e86622","last_reissued_at":"2026-07-05T10:36:35.089835Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:36:35.089835Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.ET"],"primary_cat":"quant-ph","authors_text":"Alejandra Ruiz, Andreas Oikonomakis, Eneko Osaba, Matic Petri\\v{c}, Michail-Alexandros Kourtis, Pablo Miranda-Rodriguez, Sebastian Bock","submitted_at":"2025-01-30T15:38:40Z","abstract_excerpt":"This paper presents a novel hybrid approach to solving real-world drone routing problems by leveraging the capabilities of quantum computing. The proposed method, coined Quantum for Drone Routing (Q4DR), integrates the two most prominent paradigms in the field: quantum gate-based computing, through the Eclipse Qrisp programming language; and quantum annealers, by means of D-Wave System's devices. The algorithm is divided into two different phases: an initial clustering phase executed using a Quantum Approximate Optimization Algorithm (QAOA), and a routing phase employing quantum annealers. The"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18432","kind":"arxiv","version":3},"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/2501.18432/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":"2501.18432","created_at":"2026-07-05T10:36:35.089962+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.18432v3","created_at":"2026-07-05T10:36:35.089962+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18432","created_at":"2026-07-05T10:36:35.089962+00:00"},{"alias_kind":"pith_short_12","alias_value":"6FOE6I7Z5VF4","created_at":"2026-07-05T10:36:35.089962+00:00"},{"alias_kind":"pith_short_16","alias_value":"6FOE6I7Z5VF4R76K","created_at":"2026-07-05T10:36:35.089962+00:00"},{"alias_kind":"pith_short_8","alias_value":"6FOE6I7Z","created_at":"2026-07-05T10:36:35.089962+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/6FOE6I7Z5VF4R76KSEEC3WXKUJ","json":"https://pith.science/pith/6FOE6I7Z5VF4R76KSEEC3WXKUJ.json","graph_json":"https://pith.science/api/pith-number/6FOE6I7Z5VF4R76KSEEC3WXKUJ/graph.json","events_json":"https://pith.science/api/pith-number/6FOE6I7Z5VF4R76KSEEC3WXKUJ/events.json","paper":"https://pith.science/paper/6FOE6I7Z"},"agent_actions":{"view_html":"https://pith.science/pith/6FOE6I7Z5VF4R76KSEEC3WXKUJ","download_json":"https://pith.science/pith/6FOE6I7Z5VF4R76KSEEC3WXKUJ.json","view_paper":"https://pith.science/paper/6FOE6I7Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.18432&json=true","fetch_graph":"https://pith.science/api/pith-number/6FOE6I7Z5VF4R76KSEEC3WXKUJ/graph.json","fetch_events":"https://pith.science/api/pith-number/6FOE6I7Z5VF4R76KSEEC3WXKUJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6FOE6I7Z5VF4R76KSEEC3WXKUJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6FOE6I7Z5VF4R76KSEEC3WXKUJ/action/storage_attestation","attest_author":"https://pith.science/pith/6FOE6I7Z5VF4R76KSEEC3WXKUJ/action/author_attestation","sign_citation":"https://pith.science/pith/6FOE6I7Z5VF4R76KSEEC3WXKUJ/action/citation_signature","submit_replication":"https://pith.science/pith/6FOE6I7Z5VF4R76KSEEC3WXKUJ/action/replication_record"}},"created_at":"2026-07-05T10:36:35.089962+00:00","updated_at":"2026-07-05T10:36:35.089962+00:00"}