WiMi’s QFNN training algorithm relies on several key quantum computing subroutines, with the most critical components being the quantized feedforward and backpropagation processes. In classical ...

To do this, the machine learning algorithms have to be trained on sample data. Training requires some skill to provide a proper mix of data for the model. The result of the training, which is in the ...