WiMi Develops Quantum Kernel Convolution Method for NISQ Quantum Devices

WiMi announced a hybrid quantum convolutional neural network (QCNN) architecture featuring a Quantum Kernel Convolution (QKC) scheme designed to run on current NISQ quantum hardware. The approach combines classical neural networks with quantum convolution and pooling layers to perform image classification while reducing parameter counts and computational complexity. Experimental tests using the MNIST dataset showed classification performance comparable to traditional CNNs despite using fewer parameters. Photo from Pexels by Yusuf P. PRESS RELEASE — WiMi Hologram Cloud Inc. (NASDAQ: WiMi) (“WiMi” or the “Company”), a leading global Hologram…