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Quantum Neural Network

This section consists of the Quantum Neural Network (QNN), it consists of introduction, how to instantiate, how to run forward and backward propagation, and how to train the QNN. Advancing into variational quantum circuit and with demo about building a QNN with a popular problem statements.

📄️ 1. Introduction

Our classical neural network is a mathematical model that is inspired by the human brain. It is composed of layers of neurons that are connected to each other. Each neuron is a mathematical function that takes an input and produces an output. The output of one neuron is the input to the next neuron. The network is trained by adjusting the weights of the connections between neurons to minimize the error between the predicted output and the actual output. This is what we have learned.