Noise-Aware Quantum Architecture Search Based on NSGA-II Algorithm

• URL: http://arxiv.org/abs/2601.10965v1
• Date: Fri, 16 Jan 2026 03:11:34 GMT
• Title: Noise-Aware Quantum Architecture Search Based on NSGA-II Algorithm
• Authors: Chenlu Li, Hui Zeng, Dazhi Ding,
• Abstract summary: We propose a noise-aware quantum architecture search (NA-QAS) framework based on variational quantum circuit design.<n>We introduce a hybrid Hamiltonian $varepsilon$ -greedy strategy to optimize evaluation costs.<n>An enhanced variable-depth NSGA-II algorithm is employed to navigate the vast search space.
• Score: 6.42663482584159
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum architecture search (QAS) has emerged to automate the design of high-performance quantum circuits under specific tasks and hardware constraints. We propose a noise-aware quantum architecture search (NA-QAS) framework based on variational quantum circuit design. By incorporating a noise model into the training of parameterized quantum circuits (PQCs) , the proposed framework identifies the noise-robust architectures. We introduce a hybrid Hamiltonian $\varepsilon$ -greedy strategy to optimize evaluation costs and circumvent local optima. Furthermore, an enhanced variable-depth NSGA-II algorithm is employed to navigate the vast search space, enabling an automated trade-off between architectural expressibility and quantum hardware overhead. The effectiveness of the framework is validated through binary classification and iris multi-classification tasks under a noisy condition. Compared to existing approaches, our framework can search for quantum architectures with superior performance and greater resource efficiency under a noisy condition.

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