Abstract
In order to obtain a CNOT circuit with better performance under the nearest neighbor (NN) constraint, the Boolean matrix representation of the CNOT circuit and its change in the NN synthesis process are analyzed. The matrix flipped by the center and the transpose matrix of the Boolean matrix can also be used for the NN synthesis, and the NN circuit with the least cost is chosen as the final result. In order to further reduce the runtime of the method and improve the efficiency of solving large-scale problems, the parallel implementation algorithm is put forward. Tested on different circuit lengths on five architectures, the results show that under the same parameters and environment, the number of NN CNOT gates is less than that of the existing method, and the maximum optimization rate is 29.75%. The average speedup of parallel execution is 3.02 with quad-core processor.
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This work is supported by the National Natural Science Foundation of China (62072259).
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Cheng, X., Zhu, M., Li, X., Guan, Z. (2022). Nearest Neighbor Synthesis of CNOT Circuit Based on Matrix Transformation. In: Xie, Q., Zhao, L., Li, K., Yadav, A., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 89. Springer, Cham. https://doi.org/10.1007/978-3-030-89698-0_16
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