Qingping Zhou

Orcid: 0000-0003-1530-3525

According to our database1, Qingping Zhou authored at least 24 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Tripartite quantum-memory-assisted entropic uncertainty relations in three-qubit Heisenberg XXZ spin model with DM and KSEA interactions.
Quantum Inf. Process., February, 2026

Sequential Bayesian design for efficient surrogate construction in the inversion of Darcy flows.
J. Comput. Phys., 2026

2025
MPITE: Multidimensional Performance Evaluator for Interpretable and Traceable Network Performance Evaluation.
IEEE Trans. Netw., October, 2025

Quantum-memory-assisted entropic uncertainty and steered quantum coherence in double quantum dots system under thermal equilibrium and decoherence.
Quantum Inf. Process., February, 2025

2024
Fully measurement-device-independent two-way quantum key distribution with finite single-photon sources.
Quantum Inf. Process., June, 2024

Enhancing Electrical Impedance Tomography Reconstruction Using Learned Half-Quadratic Splitting Networks with Anderson Acceleration.
J. Sci. Comput., February, 2024

A MCMC method based on surrogate model and Gaussian process parameterization for infinite Bayesian PDE inversion.
J. Comput. Phys., 2024

Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler.
Comput. Stat. Data Anal., 2024

2023
Comparing the quantum memory-assisted entropic uncertainties of spin-qubit in presence of spin-qutrit and spin-qubit quantum memories in Heisenberg spin chains.
Quantum Inf. Process., December, 2023

An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors.
J. Chem. Inf. Model., December, 2023

MCDIP-ADMM: Overcoming overfitting in DIP-based CT reconstruction.
Expert Syst. J. Knowl. Eng., December, 2023

A CVAE-within-Gibbs sampler for Bayesian linear inverse problems with hyperparameters.
Comput. Appl. Math., April, 2023

Relationship between quantum-memory-assisted entropic uncertainty and steered quantum coherence in a two-qubit X state.
Quantum Inf. Process., February, 2023

Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems.
CoRR, 2023

Multi-code deep image prior based plug-and-play ADMM for image denoising and CT reconstruction.
CoRR, 2023

2022
Inferring the unknown parameters in differential equation by Gaussian process regression with constraint.
Comput. Appl. Math., September, 2022

2020
Bayesian Inference and Uncertainty Quantification for Medical Image Reconstruction with Poisson Data.
SIAM J. Imaging Sci., 2020

Measurement-device-independent quantum key distribution with uncharacterized coherent sources.
Quantum Inf. Process., 2020

2018
Quantum-memory-assisted entropic uncertainty in two-qubit Heisenberg <i>XYZ</i> chain with Dzyaloshinskii-Moriya interactions and effects of intrinsic decoherence.
Quantum Inf. Process., 2018

Controlling quantum memory-assisted entropic uncertainty in non-Markovian environments.
Quantum Inf. Process., 2018

Error-Tracking Iterative Learning Control for Nonlinearly Parametric Time-Delay Systems With Initial State Errors.
IEEE Access, 2018

Adaptive Actuator Failure Compensation Control of Second-Order Nonlinear Systems With Unknown Time Delay.
IEEE Access, 2018

2017
A Hybrid Adaptive MCMC Algorithm in Function Spaces.
SIAM/ASA J. Uncertain. Quantification, 2017

2014
Asymmetric "4+2" protocol for quantum key distribution with finite resources.
Quantum Inf. Process., 2014


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