Data-based predictive control for networked nonlinear systems with packet dropout and measurement noise

Pang, Zhong-Hua; Liu, Shuai; Zhou, Donghua; Sun, Dehui

doi:10.1007/s11424-017-5308-4

Cited by 27 publications

(33 citation statements)

References 33 publications

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“…The point-to-point quantum communication must be turned to the multi-party quantum network communication. In the classical networks, these have a wide range of research meanings in some network structures [45]- [47]. As regards the quantum networks, the feasibility and construction have been fully verified theoretically [48].…”

Section: Discussionmentioning

confidence: 94%

Asymmetric Controlled Bidirectional Remote Preparation of Single- and Three-Qubit Equatorial State in Noisy Environment

Sun

Chen

et al. 2019

IEEE Access

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We present an asymmetric controlled bidirectional remote preparation scheme under the control of Charlie, where Alice transmits an arbitrary single-qubit equatorial state to Bob and Bob transmits an arbitrary three-qubit equatorial state to Alice. First, the quantum channel is constructed by using Hadamard (H) and CNOT operations. Second, we consider our scheme in the noiseless environment and construct the appropriate measurement bases. In addition, the participants can recover the prepared states through implementing the corresponding recovery operations determinately. Third, we discuss our scheme in five types of noisy environments (amplitude-damping, phase-damping, bit-flip, phase-flip, and depolarizing noisy environment). The fidelities of the output states are calculated, which depend on the coefficients of the prepared states and the decoherence rates. Finally, some discussions and conclusions are given. Compared with previous schemes, our scheme does not need additional operations or auxiliary qubits. So it is slightly more efficient. INDEX TERMS Asymmetry, controlled bidirectional remote preparation, noisy environment, fidelity.

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Section: Discussionmentioning

confidence: 94%

Asymmetric Controlled Bidirectional Remote Preparation of Single- and Three-Qubit Equatorial State in Noisy Environment

Sun

Chen

et al. 2019

IEEE Access

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“…First, the state ϕ 0 1 is transmitted to C 1 . Then, we apply the identity operator I to the coin state, getting coin state ϕ 2 1 . Finally, we keep applying the identity operator I to the coin state, then, we can get the state ϕ 3 1 .…”

Section: ) Perfect Single-qubit States Transfermentioning

confidence: 99%

Quantum Network Communication With a Novel Discrete-Time Quantum Walk

Chen

Wang

et al. 2019

IEEE Access

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In this paper, we propose a scheme using a new kind of quantum walk to realize quantum communication well. In our scheme, obviously, there are three advantages. First, the initial states can be transferred from the source to the target by finite steps, which will make execution easier in practice. Second, due to fewer restrictions to the network models, our scheme can be adapted to more general network models, such as the butterfly network, the inverted crown network, the grail network, and the generalized butterfly network G k. Finally, arbitrary single-qubit and two-qubit initial states can be transferred to different kinds of network models. At the same time, the fidelity and probability equal 1. Our work promotes more applications of combining quantum computation with quantum communication in the future.

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“…Unwrapping experiments using real data from the Jining area in China show that our proposed algorithm achieves more precise results than the least squares unwrapping algorithms. Quantitative indexes include differences in RMSE between rewrapped results and the original wrapped phase, computation time, and̃values [26][27][28]. The sequential quadratic programming method achieves better results with respect to three indices.…”

Section: Introductionmentioning

confidence: 99%

Sequential Quadratic Programming Method for Nonlinear Least Squares Estimation and Its Application

Goulin

Guo

2019

Mathematical Problems in Engineering

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In this study, we propose a direction-controlled nonlinear least squares estimation model that combines the penalty function and sequential quadratic programming. The least squares model is transformed into a sequential quadratic programming model, allowing for the iteration direction to be controlled. An ill-conditioned matrix is processed by our model; the least squares estimate, the ridge estimate, and the results are compared based on a combination of qualitative and quantitative analyses. For comparison, we use two equality indicators: estimated residual fluctuation of different methods and the deviation between estimated and true values. The root-mean-squared error and standard deviation are used for quantitative analysis. The results demonstrate that our proposed model has a smaller error than other methods. Our proposed model is thereby found to be effective and has high precision. It can obtain more precise results compared with other classical unwrapping algorithms, as shown by unwrapping using both simulated and real data from the Jining area in China.

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Data-based predictive control for networked nonlinear systems with packet dropout and measurement noise

Cited by 27 publications

References 33 publications

Asymmetric Controlled Bidirectional Remote Preparation of Single- and Three-Qubit Equatorial State in Noisy Environment

Asymmetric Controlled Bidirectional Remote Preparation of Single- and Three-Qubit Equatorial State in Noisy Environment

Quantum Network Communication With a Novel Discrete-Time Quantum Walk

Sequential Quadratic Programming Method for Nonlinear Least Squares Estimation and Its Application

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