Two-stage solution of quantum process tomography in the natural basis

被引：2
|
作者：
Xiao, Shuixin [1 ,2 ]
Wang, Yuanlong [3 ,4 ]
Dong, Daoyi [1 ]
Zhang, Jun [2 ]
机构：
[1] Univ New South Wales, Sch Engn & Informat Technol, Canberra, ACT 2600, Australia
[2] Shanghai Jiao Tong Univ, UMich SJTU Joint Inst, Shanghai 200240, Peoples R China
[3] Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
[4] Griffith Univ, Ctr Quantum Dynam, Ctr Quantum Computat & Commun Technol, Australian Res Council, Brisbane, Qld 4111, Australia
来源：
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC) | 2022年
基金：
澳大利亚研究理事会; 中国国家自然科学基金;
关键词：
ERROR ANALYSIS;
D O I：
10.1109/CDC51059.2022.9992920
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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(d(6)) computational complexity where d is the dimension of the quantum system. We establish an error bound O(d(5/)root 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.
引用
收藏
页码：5807 / 5812
页数：6
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