{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-fidelity-driven-approach-to-quantum-circuit","title":"A fidelity-driven approach to quantum circuit partitioning via weighted hypergraphs for noise-resilient computation","arxiv_id":"2506.06867","date":"2025-06-07","proceeding":null,"authors":["Awad Wehbe","Safiya Al Khatib","AbdelMehsen Ahmad"],"abstract":"Effective circuit partitioning is critical for Noisy Intermediate-Scale Quantum (NISQ) devices, which are hampered by high error rates and limited qubit connectivity. Standard partitioning heuristics often neglect gate-specific error impacts, leading to suboptimal divisions with significant communication overhead and reduced fidelity. This paper introduces Fidelipart, a novel framework that transforms quantum circuits into a fidelity-aware hypergraph. In this model, gate error rates and structural dependencies inform the weights of nodes (gates) and hyperedges (representing multi-qubit interactions and qubit timelines), guiding an Mt-KaHyPar partitioner to minimize cuts through error-prone operations. We evaluated Fidelipart against BQSKit's QuickPartitioner on 6-qubit/22-gate, 10-qubit/55-gate, and 24-qubit/88-gate benchmarks under a linear topology with a consistent local contiguous re-mapping strategy. Results demonstrate Fidelipart's superior performance. It achieved SWAP gate reductions ranging from 77.3% to 100% and up to a 52.2% decrease in cut qubits. These physical improvements directly translated to estimated fidelity gains ranging from 27.3% to over 250%. While Fidelipart showed a modest runtime increase of 8-13% and variable effects on maximum partition depth, its substantial enhancement of circuit fidelity highlights the significant benefits of integrating detailed error-awareness into the partitioning process for more reliable NISQ computations.","url_abs":"https://arxiv.org/abs/2506.06867v2","url_pdf":"https://arxiv.org/pdf/2506.06867v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"a-fidelity-driven-approach-to-quantum-circuit","repo_url":"https://github.com/awadwehbe/fidelpart","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}