Two-stage solution for ancilla-assisted quantum process tomography: error analysis and optimal design

• URL: http://arxiv.org/abs/2310.20421v1
• Date: Tue, 31 Oct 2023 12:47:03 GMT
• Title: Two-stage solution for ancilla-assisted quantum process tomography: error analysis and optimal design
• Authors: Shuixin Xiao, Yuanlong Wang, Daoyi Dong, Jun Zhang
• Abstract summary: In this paper, we extend the two-stage solution, a method originally designed for standard QPT, to perform AAPT. Our algorithm has $O(Md_A2d_B2)$ computational complexity where $ M is the type number of the measurement operators, $ d_A $ is the dimension of the quantum system of interest, and $d_B$ is the dimension of the ancilla system. A numerical example on a phase damping process demonstrates the effectiveness of the optimal design and illustrates the theoretical error analysis.
• Score: 7.578486693853657
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum process tomography (QPT) is a fundamental task to characterize the dynamics of quantum systems. In contrast to standard QPT, ancilla-assisted process tomography (AAPT) framework introduces an extra ancilla system such that a single input state is needed. In this paper, we extend the two-stage solution, a method originally designed for standard QPT, to perform AAPT. Our algorithm has $O(Md_A^2d_B^2)$ computational complexity where $ M $ is the type number of the measurement operators, $ d_A $ is the dimension of the quantum system of interest, and $d_B$ is the dimension of the ancilla system. Then we establish an error upper bound and further discuss the optimal design on the input state in AAPT. A numerical example on a phase damping process demonstrates the effectiveness of the optimal design and illustrates the theoretical error analysis.

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