View source for IonQ, Inc. (20240428575). QUANTUM CONVOLUTIONAL NEURAL NETWORK CIRCUIT

=QUANTUM CONVOLUTIONAL NEURAL NETWORK CIRCUIT=


==Organization Name==

[[:Category:IonQ, Inc.|IonQ, Inc.]]


[[Category:IonQ, Inc.]]

==Inventor(s)==

[[:Category:Jason John Iaconis of Boulder CO (US)|Jason John Iaconis of Boulder CO (US)]][[Category:Jason John Iaconis of Boulder CO (US)]]

[[:Category:Sang Hyub Kim of La Canada Flintridge CA (US)|Sang Hyub Kim of La Canada Flintridge CA (US)]][[Category: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.



[[Category:G06V10/82]]
[[Category:G06V10/77]]
[[Category:CPC_G06V10/82]]