65 citations · 128 across the 11 of their papers we have counts for
11 papers
On-line Quantum State Estimation Using Continuous Weak Measurement and Compressed Sensing
S. Cong, K. Li, S. Harraz +2
We propose a new protocol for on-line quantum system estimation on the basis of continuous weak-measurements with the help of compressive sensing and the optimization algorithm. By…
Two-qubit state recovery from amplitude damping based on weak measurement
Sajede Harraz, Shuang Cong, Kezhi Li
In the quantum control process, arbitrary pure or mixed initial states need to be protected from amplitude damping through the noise channel using measurements and quantum control.…
Fast Reconstruction of High-qubit Quantum States via Low Rate Measurements
K. Li, J. Zhang, S. Cong
Due to the exponential complexity of the resources required by quantum state tomography (QST), people are interested in approaches towards identifying quantum states which require…
A Nonlinear Weighted Total Variation Image Reconstruction Algorithm for Electrical Capacitance Tomography
Kezhi Li, Daniel Holland
A new iterative image reconstruction algorithm for electrical capacitance tomography (ECT) is proposed that is based on iterative soft thresholding of a total variation penalty and…
A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography
Kezhi Li
To study the fundamental physics of complex multiphase flow systems using advanced measurement techniques, especially the electrical capacitance tomography (ECT) approach, this art…
State of the Art and Prospects of Structured Sensing Matrices in Compressed Sensing
Kezhi Li, Shuang Cong
Compressed sensing (CS) enables people to acquire the compressed measurements directly and recover sparse or compressible signals faithfully even when the sampling rate is much low…
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction
Kezhi Li, Martin Sundin, Cristian R. Rojas +2
This article focuses on the problem of reconstructing low-rank matrices from underdetermined measurements using alternating optimization strategies. We endeavour to combine an alte…
Piecewise Toeplitz Matrices-based Sensing for Rank Minimization
Kezhi Li, Cristian R. Rojas, Saikat Chatterjee +1
This paper proposes a set of piecewise Toeplitz matrices as the linear mapping/sensing operator for recovering l…
A Robust Compressive Quantum State Tomography Algorithm Using ADMM
Kezhi Li, Shuang Cong
The possible state space dimension increases exponentially with respect to the number of qubits. This feature makes the quantum state tomography expensive and impractical for ident…
Convolutional Compressed Sensing Using Deterministic Sequences
Kezhi Li, Lu Gan, Cong Ling
In this paper, a new class of circulant matrices built from deterministic sequences is proposed for convolution-based compressed sensing (CS). In contrast to random convolution, th…
Orthogonal symmetric Toeplitz matrices for compressed sensing: Statistical isometry property
Kezhi Li, Lu Gan, Cong Ling
Recently, the statistical restricted isometry property (RIP) has been formulated to analyze the performance of deterministic sampling matrices for compressed sensing. In this paper…