IonQ, Inc. (20240428575). QUANTUM CONVOLUTIONAL NEURAL NETWORK CIRCUIT
Contents
QUANTUM CONVOLUTIONAL NEURAL NETWORK CIRCUIT
Organization Name
Inventor(s)
Jason John Iaconis of Boulder CO (US)
Sang Hyub Kim of La Canada Flintridge CA (US)
QUANTUM CONVOLUTIONAL NEURAL NETWORK CIRCUIT
This abstract first appeared for US patent application 20240428575 titled 'QUANTUM CONVOLUTIONAL NEURAL NETWORK CIRCUIT
Original Abstract Submitted
aspects of the present disclosure relate generally to systems and methods for classifying an object in an image using a quantum convolutional neural network (qcnn). a method includes receiving the image; compressing, using an autoencoder, the image by extracting a plurality of features; encoding the plurality of features into quantum states by applying a quantum feature map corresponding to a quantum circuit unique to the image, where parameters of the quantum circuit depend on pixel values in the image; inputting the encoded plurality of features into the qcnn that is trained to detect the object and generate a classification of the object; and outputting the classification of the object generated by the qcnn.
