Paper Info
Title
An Efficient Online Estimation Algorithm With Measurement Noise For Time-Varying Quantum States
Abstract
Inspired by the online alternating direction multiplier method (OADM), we propose an efficient online quantum state estimation (QSE) algorithm (QSE-OADM) for recovering time-varying quantum states in this paper. Specifically, in QSE-OADM, the density matrix recovery subproblem and measurement noise minimization subproblem are divided and solved separately without running the algorithm iteratively, which makes the proposed method much more efficient than all previous works. In the numerical experiments, for a 4-qubit system, the proposed algorithm can achieve more than 97.57% (fidelity) estimation accuracy after 71 samples, and the average runtime of per estimation is (4.19 +/- 0.41) x 10(-4) seconds, which reveals its superior performance comparing with existing online processing algorithms. (C) 2020 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2021
10.1016/j.sigpro.2020.107887
SIGNAL PROCESSING
Keywords
DocType
Volume
Online quantum state estimation, Minimization multi-problem, Optimization algorithm, Online alternating direction multiplier method
Journal
180
ISSN
Citations 
PageRank 
0165-1684
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Enhong Chen1123586.93
Shuang Cong212933.36
Kezhi Li3154.07