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pro vyhledávání: '"Chen, Xiao‐Yu"'
Autor:
Chen, Xiao-yu
Multipartite entanglement detection is crucial for the develop of quantum information science and quantum computation, communication, simulation and metrology tasks. In contrast to experiments, where several handreds of qubits have been entangled to
Externí odkaz:
http://arxiv.org/abs/2411.03083
In this paper, we propose a novel and efficient parameter estimator based on $k$-Nearest Neighbor ($k$NN) and data generation method for the Lognormal-Rician turbulence channel. The Kolmogorov-Smirnov (KS) goodness-of-fit statistical tools are employ
Externí odkaz:
http://arxiv.org/abs/2409.01694
Autor:
Chen, Xiao-yu
Quantification of nonclassicality and entanglement in a quantum state is crucial for quantum advantage in information processing and computation. Robustness is one of the tractable measures for quantifying quantum resources. Gaussian states are impor
Externí odkaz:
http://arxiv.org/abs/2309.11815
Several precise and computationally efficient results for pointing errors models in two asymptotic cases are derived in this paper. The normalized mean-squared error (NMSE) performance metric is employed to quantify the accuracy of different models.
Externí odkaz:
http://arxiv.org/abs/2301.02058
We use matched quantum entanglement witnesses to study the separable criteria of continuous variable states. The witness can be written as an identity operator minus a Gaussian operator. The optimization of the witness then is transformed to an eigen
Externí odkaz:
http://arxiv.org/abs/2209.08746
We use quantum entanglement witnesses derived from Gaussian operators to study the separable criteria of continuous variable states. We transform the validity of a Gaussian witness to a Bosonic Gaussian channel problem. It follows that the maximal me
Externí odkaz:
http://arxiv.org/abs/2208.12425
Autor:
Chen, Xiao-yu, Liu, Ying, Zhu, Wen-bo, Li, Shu-hao, Wei, Song, Cai, Jing, Lin, Yuan, Liang, Jian-kai, Yan, Guang-mei, Guo, Li, Hu, Cheng
Publikováno v:
In iScience 15 November 2024 27(11)
Autor:
Chen, Xiao-Yu, Zhao, Yuan, Liu, Zi-Han, Pang, Yi-Tong, Wei, Di-Gen, Wangchen, Jing-Yi, Yao, Cheng-Bao
Publikováno v:
In Applied Surface Science 15 February 2025 682
Publikováno v:
In European Journal of Radiology January 2025 182
Autor:
Chen, Xiao-Yu
Proefschrift Universiteit van Amsterdam.
Met lit. opg.
Met lit. opg.
Externí odkaz:
http://dare.uva.nl/document/84974