{"paper":{"title":"Impact-Driven Quantum Decomposition for Traffic Zone Partitioning: A Hybrid Gate-Model Framework","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"Estimating energy impacts lets quantum processors handle key parts of traffic zone partitioning while classical methods coordinate the rest.","cross_cats":["cs.ET"],"primary_cat":"quant-ph","authors_text":"Kaicong Huang, Ruimin Ke, Shuyang Li, Talha Azfar","submitted_at":"2026-05-01T21:54:13Z","abstract_excerpt":"Partitioning transportation networks into balanced and spatially coherent traffic zones is a fundamental yet computationally challenging task in intelligent transportation systems. The resulting optimization problem exhibits dense interactions among decision variables and can be formulated as a Quadratic Unconstrained Binary Optimization (QUBO) model. While quantum optimization naturally aligns with such quadratic energy representations, current noisy intermediate-scale quantum hardware imposes limitations on problem size, connectivity, and circuit reliability. This paper proposes an impact-dr"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Results show that impact-guided decomposition improves convergence behavior and produces more coherent spatial partitions relative to classical refinement, while remaining consistent with hardware constraints.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the energy impact of decision variables can be estimated accurately enough to selectively assign quantum computation to influential subproblems while the classical coordination loop maintains global feasibility.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Impact-guided hybrid quantum decomposition for traffic zone partitioning improves convergence and spatial coherence over classical refinement but does not outperform direct quantum optimization on IBM hardware.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Estimating energy impacts lets quantum processors handle key parts of traffic zone partitioning while classical methods coordinate the rest.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"addfdc46ce313a58c6ce78ed1e2478871bf52745591706f1461666812810bcd9"},"source":{"id":"2605.01127","kind":"arxiv","version":2},"verdict":{"id":"c191170f-c7c6-4f37-a7fd-6c718324a17d","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-09T18:54:22.656083Z","strongest_claim":"Results show that impact-guided decomposition improves convergence behavior and produces more coherent spatial partitions relative to classical refinement, while remaining consistent with hardware constraints.","one_line_summary":"Impact-guided hybrid quantum decomposition for traffic zone partitioning improves convergence and spatial coherence over classical refinement but does not outperform direct quantum optimization on IBM hardware.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the energy impact of decision variables can be estimated accurately enough to selectively assign quantum computation to influential subproblems while the classical coordination loop maintains global feasibility.","pith_extraction_headline":"Estimating energy impacts lets quantum processors handle key parts of traffic zone partitioning while classical methods coordinate the rest."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.01127/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"doi_compliance","ran_at":"2026-05-19T17:32:44.699566Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"acab42260fc84a2996d65cd40094b2531696b460a48c466afcf5a45b42d30ae9"},"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"}