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.
no code implementations • 14 Aug 2023 • Yifan Zhou, Yew Kee Wong, Yan Shing Liang, Haichuan Qiu, Yu Xi Wu, Bin He
This paper is based on our first paper, where we pitched the concept of machine learning combined with quantum simulations.