Universal quantum control through deep reinforcement learning | npj Quantum Information
May 17 by Galkree
Goldin, Y. Huang, C. A 95 , Search Search articles by subject, keyword or author. Use the Previous and Next buttons to navigate three slides at a time, or the slide dot buttons at the end to jump three slides at a time. These are the steps we take to ensure that our installation meets your design. This is a preview of subscription content, access via your institution. Despite this lack of precise knowledge of control landscape, unsupervised machine learning techniques are able to obtain high-quality and scalable solutions to similar high-dimensional continuous-variable optimization in real-world problems.