Project title: Efficient and automated calibration of superconducting processors using AI techniques
PI: Mustafa Bakr
This project aims to develop an AI to automatically calibrate the changes in device parameters of a quantum processor, to maintain its stable performance. This will significantly benefit both academia and industry for controlling large-scale superconducting quantum processors and has the potential to be adapted to other types of quantum processors.
