The suppressing errors on real quantum computers webinar explores how quantum control can improve the performance of quantum computing hardware – in the lab or in the cloud. The presentation introduces how to create error-robust quantum logic, and implement solutions on IBM Q hardware using the Qikit Pulse framework. We describe experiments using model-based optimization and also demonstrate the first use of reinforcement learning to discover novel quantum logic operations that outperform standard gates.
By focusing on code-based demonstrations of our AI and machine-learning tools, this is a great entry to advanced quantum computing concepts for computer scientists and software engineers.
