Improved Energy-Efficient Algorithm in Wireless Communication Systems using PSO Method

Achki, Samira; Gharnati, Fatima

doi:10.14257/ijfgcn.2017.10.12.05

Cited by 3 publications

(2 citation statements)

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“…In [ 41 ], the authors discussed an improved energy-efficient algorithm in wireless communication systems using the PSO method. In [ 42 ], the authors discussed the “Feed Forward Networks in Color Extended Visual Cryptography to Generate Meaningful Shares.” In [ 43 ], the authors discussed [ 44 ] “Banknote Image Defect Recognition Method Based on Convolution Neural Network.”…”

Section: Related Studiesmentioning

confidence: 99%

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Method for Quantum Denoisers Using Convolutional Neural Network

Kim

Madhavi

2022

Computational Intelligence and Neuroscience

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In many applications of quantum information science, high-dimensional entanglement is needed. Quantum teleportation is used for transferring information from one place to another using Einstein–Podolsk–Rosen pairs (EPR) and two classical bits of communication in a channel. Since we cannot produce multiple copies of an unknown state for amplification, we will generate multiple EPR pairs. However, after the distribution of the EPR pairs, they will have decreased fidelity with the ideal EPR state. So, to maintain the quantum states and maximize the quantification of the entanglement without losing the strength of the states, we propose to denoise the channel for a few types of noise. We created a random noise source and filtered out the irrelevant information without affecting the relevant information encoded in the quantum states. The proposed model is used for successful denoising of GHZ states from spin flips and bit flip errors. Much of the research work is not carried out by using machine-language-based neural networks for noise-reduction in quantum channels. In this paper, we propose a denoiser called quantum denoiser CNQD, which uses a feedforward convolution neural network model. We tuned our model with highly entangled GHZ states with zero phases and phase between [0, ∏] mixed with different kinds of noise. Finally, the proposed model can be used for optimal quantum communication via noisy quantum channels using GHZ states.

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Section: Related Studiesmentioning

confidence: 99%

“…In [41], the authors discussed an improved energy-efficient algorithm in wireless communication systems using the PSO method. In [42], the authors…”

mentioning

confidence: 99%