J. Kelly

The Snake Optimizer for Learning Quantum Processor Control Parameters

2020 · arXiv (Cornell University)

High performance quantum computing requires a calibration system that learns optimal control parameters much faster than system drift. In some cases, the learning procedure requires solving complex optimization problems that are non-convex, high-dimensional, highly constrained, …