  Recently, several groups have demonstrated two-qubit gate fidelities in
semiconductor spin qubit systems above 99%. Achieving this regime of
fault-tolerant compatible high fidelities is nontrivial and requires exquisite
stability and precise control over the different qubit parameters over an
extended period of time. This can be done by efficiently calibrating qubit
control parameters against different sources of micro- and macroscopic noise.
Here, we present several single- and two-qubit parameter feedback protocols,
optimised for and implemented in state-of-the-art fast FPGA hardware.
Furthermore, we use wavelet-based analysis on the collected feedback data to
gain insight into the different sources of noise in the system. Scalable
feedback is an outstanding challenge and the presented implementation and
analysis gives insight into the benefits and drawbacks of qubit parameter
feedback, as feedback related overhead increases. This work demonstrates a
pathway towards robust qubit parameter feedback and systematic noise analysis,
crucial for mitigation strategies towards systematic high-fidelity qubit
operation compatible with quantum error correction protocols.
