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- W4320342632 abstract "In this paper we are interested to model quantum signal by statistical signal processing methods. The Gaussian distribution has been considered for the input quantum signal as Gaussian state have been proven to a type of important robust state and most of the important experiments of quantum information are done with Gaussian light. Along with that a joint noise model has been invoked, and followed by a received signal model has been formulated by using convolution of transmitted signal and joint quantum noise to realized theoretical achievable capacity of the single quantum link. In joint quantum noise model we consider the quantum Poisson noise with classical Gaussian noise. We compare the capacity of the quantum channel with respect to SNR to detect its overall tendency. In this paper we use the channel equation in terms of random variable to investigate the quantum signals and noise model statistically. These methods are proposed to develop Quantum statistical signal processing and the idea comes from the statistical signal processing." @default.
- W4320342632 created "2023-02-13" @default.
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- W4320342632 date "2023-02-09" @default.
- W4320342632 modified "2023-09-23" @default.
- W4320342632 title "Quantum Channel Modelling by Statistical Quantum Signal Processing" @default.
- W4320342632 doi "https://doi.org/10.48550/arxiv.2302.04587" @default.
- W4320342632 hasPublicationYear "2023" @default.
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