Automated Tuning and Characterization of Single-Electron Pumps in Undoped GaAs/AlGaAs Heterostructures

Precise and reproducible operation of single-electron pumps (SEPs) is central to realizing quantum electrical and optical standards, as well as a wide array of electron-based quantum devices. Characterizing an SEP typically requires extensive manual tuning to locate optimal operating conditions in a multidimensional parameter space. We present a fully automated tuning framework that interfaces directly with voltage sources and measurement hardware to identify optimal operating points in real time. The process performs gate sweeps and decay-cascade model fitting to extract the key parameter δ, which represents the accuracy and quantization of the pumped current. Using frequency-domain analysis and dynamic bias control, the algorithm autonomously refines gate voltages and selects the optimal voltages and RF conditions. This deterministic approach reduces human bias, accelerates device characterization, and enables standardized, reproducible measurements. We experimentally validate this framework on multiple non-adiabatic SEPs fabricated in a dopant-free GaAs/AlGaAs heterostructure, demonstrating scalable, bias-independent control and paving the way for standardized, reproducible SEP measurements.