Model and Algorithm of Sequence-Based Quantum-Inspired Neural Networks
Sign Up to like & getrecommendations! Published in 2018 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2017.11.007
Abstract: To enhance the approximation ability of traditional Artificial neural network (ANN), by introducing the quantum rotation gates and the multi-qubits controlled-NOT gates to ANN, we proposed a Sequence input-based quantum-inspired neural network (SIQNN). In our… read more here.
Keywords: inspired neural; quantum inspired; algorithm sequence; model algorithm ... See more keywords
Fast transmission of computer-generated hologram with compressed sensing and quantum-inspired neural network
Sign Up to like & getrecommendations! Published in 2023 at "Optical Engineering"
DOI: 10.1117/1.oe.62.5.053101
Abstract: Abstract. A two-stage compression framework for computer-generated hologram (CGH) with compressed sensing (CS) and quantum-inspired neural network (QINN) is proposed. A deep learning-based CS model is applied to sample the CGH at sub-Nyquist rates to… read more here.
Keywords: inspired neural; compressed sensing; quantum inspired; generated hologram ... See more keywords
Fourier-inspired neural module for real-time and high-fidelity computer-generated holography.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.477630
Abstract: Learning-based computer-generated holography (CGH) algorithms appear as novel alternatives to generate phase-only holograms. However, most existing learning-based approaches underperform their iterative peers regarding display quality. Here, we recognize that current convolutional neural networks have difficulty… read more here.
Keywords: generated holography; neural module; fourier inspired; inspired neural ... See more keywords