Compressing Color Computer-Generated Hologram Using Gradient Optimized Quantum-Inspired Neural Network
Jingyuan Ma,
Guanglin Yang,
Haiyan Xie
Issue:
Volume 11, Issue 1, March 2023
Pages:
1-9
Received:
5 August 2023
Accepted:
28 August 2023
Published:
14 September 2023
Abstract: In the existing electronic communication systems, fast transmission of three-dimensional image information requires compression and encoding of holographic images. In this paper, a method for compressing the color computer-generated hologram by the quantum-inspired neural network based on the gradient optimized algorithm is proposed. By optimizing the gradient descent calculation method of quantum-inspired neural network, the convergence speed of the quantum-inspired neural network was improved, and the loss error of the quantum-inspired neural network was reduced. The bandwidth-limited angular spectrum method was used to calculate the color double-phase computer-generated hologram. Gradient optimized quantum-inspired neural networks and traditional quantum-inspired neural networks are used to compress the color double-phase computer-generated hologram respectively, and the decompressed color double-phase computer-generated hologram is reconstructed to the original color image by the angular spectrum method. It is shown that gradient-optimized quantum-inspired neural networks have better results in compressing and reconstructing color computer-generated holograms, which obtain high-quality and low color difference reconstructed original images compared to traditional quantum-inspired neural networks. Different gradient optimization algorithms also have differences in the training of computer-generated holograms at different wavelengths. Therefore, suitable gradient-optimized quantum-inspired neural networks can accelerate the compression speed of computer-generated holograms, while improving the quality of decompressed computer-generated holograms and reconstructed original images.
Abstract: In the existing electronic communication systems, fast transmission of three-dimensional image information requires compression and encoding of holographic images. In this paper, a method for compressing the color computer-generated hologram by the quantum-inspired neural network based on the gradient optimized algorithm is proposed. By optimizing ...
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Research Article
Cooling and Trapping of Fröhlich Polaron and Observation of Plasma Formation in Magnetic Field
Njutapmvoui Adamou,
Mwebi Ekengoue Clautaire*,
Kenfack Jiotsa Aurelien,
Kenfack Sadem Christian,
Fotue Alain Jervé,
Lukong Cornelius Fai
Issue:
Volume 11, Issue 1, March 2023
Pages:
10-19
Received:
22 July 2023
Accepted:
14 August 2023
Published:
11 November 2023
Abstract: Due to their physical properties and potential importance to the understanding of the electron mobility in a wide variety of materials, polarons are currently the subject of intensive research. Using one of the world most powerfull trapping entity, we investigated the influence of surrounding environment on the dynamic of Fröhlich polaron with the help of semiclassical approach under rotating wave approximation (RWA), in the consideration that we deal with a two-level-system (TLS). Both the frequency of the trap and the bandgap value between energy levels of the system particles dictate the resulting phenomenon. Trapping of Fröhlich polarons with magnetic field conducts to complete population transfer from excited state to ground state with the possibility of the formation of Bose-Einstein Condensates (BEC) at bot low bandgap energy values and important value magnetic field frequency. Fundamentally different to polaritons, nomatter the breaking down of Pauli Exclusion Principle (BDPEP), the magnetic trapping of quasiparticles Fröhlich polarons conducts to plasma formation when both the bandgap value of energy levels and the magnetic field frequency are very important. Detailed analysis of the resulted phenomenon will open a new perspctives toward understanding the dynamic of cooled and trapped Fröhlich polarons.
Abstract: Due to their physical properties and potential importance to the understanding of the electron mobility in a wide variety of materials, polarons are currently the subject of intensive research. Using one of the world most powerfull trapping entity, we investigated the influence of surrounding environment on the dynamic of Fröhlich polaron with the ...
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