By training and employing a machine learning model that identifies and corrects the noise in quantum-processed images, this model can compensate for the noisiness caused by the machine and retrieve a processing result similar to that performed by a classical computer with higher efficiency
-
Notifications
You must be signed in to change notification settings - Fork 1
By training and employing a machine learning model that identifies and corrects the noise in quantum processed images, this model can compensate for the noisiness caused by the machine and retrieve a processing result similar to that performed by a classical computer with higher efficiency
License
yifan1207/Quantum-Image-Processing-Opportunities-and-Challenges
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
By training and employing a machine learning model that identifies and corrects the noise in quantum processed images, this model can compensate for the noisiness caused by the machine and retrieve a processing result similar to that performed by a classical computer with higher efficiency
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published