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Maximizing the performance for microcomb based microwave photonic transversal signal processors
Microwave photonic (MWP) transversal signal processors offer a compelling solution for realizing versatile high-speed information processing by combining the advantages of reconfigurable electrical digital signal processing and high-bandwidth photonic processing.
Optical Adaptive LMS Equalizer with an Opto-electronic Feedback Loop
We propose a photonic adaptive Least-Mean-Squares equalizer with an opto-electronic feedback loop to determine the updating of an optical Finite-Impulse-Response filter's weights, enabling dispersion compensation introduced by 30-km fiber based on our photonic integrated chip.
Photonic single perceptron at Giga-OP/s speeds with Kerr microcombs for scalable optical neural networks
Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency.
Soliton crystal Kerr microcombs for high-speed, scalable optical neural networks at 10 GigaOPs/s
Optical artificial neural networks (ONNs) have significant potential for ultra-high computing speed and energy efficiency.
Handwritten Digit Recognition
Applied Physics
11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks
Convolutional neural networks (CNNs), inspired by biological visual cortex systems, are a powerful category of artificial neural networks that can extract the hierarchical features of raw data to greatly reduce the network parametric complexity and enhance the predicting accuracy.
