Led by Riverlane, the AutoQT project aims to build a solution capable of controlling hundreds of qubits simultaneously and holding them in superposition for long durations, using machine learning to automate the tuning of control parameters. Riverlane is providing the control system that provides the high-speed interface to the qubits. This project is funded by Innovate UK’s Industry Strategy Challenge Fund (ISCF).
