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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.06867 |
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| _version_ | 1866908401849597952 |
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| author | Wehbe, Awad Khatib, Safiya Al Ahmad, AbdelMehsen |
| author_facet | Wehbe, Awad Khatib, Safiya Al Ahmad, AbdelMehsen |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_06867 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A fidelity-driven approach to quantum circuit partitioning via weighted hypergraphs for noise-resilient computation Wehbe, Awad Khatib, Safiya Al Ahmad, AbdelMehsen Quantum Physics 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. |
| title | A fidelity-driven approach to quantum circuit partitioning via weighted hypergraphs for noise-resilient computation |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2506.06867 |