Abstract
Quantum process tomography (QPT) is a critical task for characterizing the dynamics of quantum systems and achieving precise quantum control. In this paper, we propose an effective two-stage solution (TSS) for QPT in the natural basis. Our algorithm has O(d6) computational complexity where d is the dimension of the quantum system. We establish an error bound O(d5/√N) where N is the copy number for each output state. The numerical examples compared with a convex optimization algorithm demonstrate the effectiveness of our algorithm.
Cite
CITATION STYLE
Xiao, S., Wang, Y., Dong, D., & Zhang, J. (2022). Two-stage solution of quantum process tomography in the natural basis. In Proceedings of the IEEE Conference on Decision and Control (Vol. 2022-December, pp. 5807–5812). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CDC51059.2022.9992920
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