Researchers are using reinforcement learning to optimize the loading and cooling processes for cold-atom experiments, leading to improved results and potential for new discoveries.
Researchers are using reinforcement learning to optimize the loading and cooling processes for cold-atom experiments, leading to improved results and potential for new discoveries.
Cold atoms have become a popular tool in quantum technology, but their complex experimental apparatus and sensitivity to disruptions have posed challenges for researchers.…
Login below or Register Now.
Already registered? Login.