no code implementations • 18 Feb 2024 • Yew Kee Wonga, Yifan Zhou, Yan Shing Liang
By training and employing a machine learning model that identifies and corrects the noise in quantum processed images, we 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.