RFSoC devices have become an increasingly important platform for quantum instrumentation, enabling real-time signal generation, measurement, and flexibility within a single integrated Software-Defined Radio (SDR). Their combination of embedded processors, FPGA logic, and high-speed RF data converters makes them ideally suited for qubit control, readout, and deterministic latency.

Many open-source projects have helped make RFSoC platforms more accessible to the quantum community by providing out-the-box Python-based control environments. However, extending or modifying these systems often requires an understanding of the underlying FPGA and RFSoC architecture, which can present a significant barrier for researchers without prior hardware design experience.

This training course addresses that gap by introducing the principles of FPGA and RFSoC design and control using the PYNQ framework, with a focus on practical understanding and hands-on development. Participants will learn the RFSoC design workflow, how software interfaces connect to programmable logic, how data flows through RFSoC systems, and how custom FPGA functionality can be developed and integrated into quantum instrumentation workflows.

The goal of the course is to empower quantum researchers to better understand, create, modify, and extend RFSoC-based control systems and leave with the knowledge and understanding of how to achieve their own research goals.