High-speed and high-precision photonic analog-to-digital conversion device and method for realizing intelligent signal processing using the same

A high-speed and high-precision photonic analog-to-digital conversion device for realizing intelligent signal processing, comprising

• a high-speed photonic analog-to-digital conversion system, the high-speed photonic analog-digital conversion system comprising
• a high-repetition-rate pulse light source having a first output port,
• a photon sampling gate having a first input port and a second input port and a first output port,
• a multi-channel demultiplexer module having a first input port and N output ports,
• a parallelization photoelectric conversion module having N input ports and N output ports, and
• a parallelization electronic-quantization module having N input ports and N output ports, and
• a deep learning signal processing module, the deep learning signal processing module comprising
• a signal source having a first output port,
• a digital signal processor having an output port, and
• a deep network having N+1 input ports,
• wherein the first output port of the high-repetition-rate pulse light source is connected to the first input port of the photon sampling gate;
• the second input port of the photon sampling gate is switchably connected to the first output port of the signal source in a training phase or to a sampling signal source in an application phase,
• the first output port of the photon sampling gate is connected to the first input port of the multi-channel demultiplexer module,
• an nth output port of the multi-channel demultiplexer module is connected to an nth input port of the parallelization photoelectric conversion module;
• an nth output port of the parallelization photoelectric conversion module is connected to the nth input port of the parallelization electronic-quantization module;
• the nth output port of the parallelization electronic-quantization module is connected to the nth input port of the deep network;
• n is an integer in a range of from 1 to N;
• and
• the deep network is a convolution neural network or a recurrent neural network that is implemented in a central processing unit (CPU), a graphic processing unit (GPU), a tensor processing unit (TPU), or a photonic neural network.