An Image Classification Algorithm Based on Hybrid Quantum Classical Convolutional Neural Network

Algorithm 1

HQCCNN classification algorithm.

	Input: classical image dataset
1	preparing quantum state, the training set and the testing set are obtained.
2	constructing hybrid quantum-classical convolutional neural network
3	setting the values for batchsize, epoch, and learning rate
4	for each epoch do
5	for each batchsize do
6	quantum system perform unitary transformation ,
7	measuring, inputting into the classical fully connected layer for further processing,
8	calculating the loss value and gradient, updating the parameters based on the gradient and learning rate.
9	end for
10	validating testing set
11	end for
	Output: each image’s class