  Quantum Process Tomography (QPT) is a powerful tool to characterize quantum
operations, but it requires considerable resources making it impractical for
more than 2-qubit systems. This work proposes an alternative approach that
requires significantly fewer resources for unitary process characterization
without prior knowledge of the process and provides a built-in method for state
preparation and measurement (SPAM) error mitigation. By measuring the quantum
process as rotated through the X and Y axes on the Bloch Sphere, we can acquire
enough information to reconstruct the quantum process matrix $\chi$ and measure
its fidelity. We test the algorithm's performance against standard QPT using
simulated and physical experiments on several IBM quantum processors and
compare the resulting process matrices. We demonstrate in numerical experiments
that the method can improve gate fidelity via a noise reduction in the
imaginary part of the process matrix, along with a stark decrease in the number
of experiments needed to perform the characterization.
