Noisy intermediate-scale quantum (NISQ) devices have inherent limitations in terms of connectivity and hardware noise. The synthesis of controlled-$\mathrm{NOT}$ (cnot) circuits considers the physical constraints and transforms quantum algorithms into low-level quantum circuits that can execute on physical chips correctly. In the current trend, quantum chip architectures without Hamiltonian paths are gradually replacing architectures with Hamiltonian paths due to their scalability and low-noise characteristics. To this end, this paper addresses the nearest-neighbor synthesis of cnot circuits in the architectures with and without Hamiltonian paths, aiming to enhance the fidelity of the circuits after execution. First, a key-qubit priority mapping model for general quantum architectures is proposed. Second, the initial mapping is further improved by using tabu search to reduce the number of cnot gates after circuit synthesis and enhance its fidelity. Finally, the noise-aware cnot circuit nearest-neighbor synthesis algorithm for the general architecture is proposed based on the key-qubit priority mapping model. The algorithm is demonstrated on several popular cloud quantum computing platforms and simulators, showing that it effectively optimizes the fidelity of cnot circuits compared with mainstream methods. Moreover, the method can be extended to more general circuits, thereby improving the overall performance of quantum computing on NISQ devices.

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• Quantum algorithms & computation
• Quantum circuits
• Quantum computation