Open Access

Modern research laboratories rely on complex measurement infrastructures that integrate a wide range of devices and interfaces.Traditional laboratory processes are often manual and decentralized, leading to errors and increased workload.This project presents a framework that orchestrates the integrated circuits (IC) and laboratory infrastructure used for qubit measurements. It also includes tools for measurement analysis. [...]

Precise tuning of semiconductor quantum dots is essential for their operation as qubits. During this process, sensor scans measure the response of the sensor dots coupled to quantum dots, revealing optimal operating conditions. [...]

The development of energy-efficient and fast machine learning methods plays an increasingly important role in experimental physics, where data analysis and control tasks often need to operate under strict resource constraints. In these contexts, machine learning models can automate complex calibration and analysis tasks while enabling on-device data processing close to the experimental sensors.One representative application presented on this poster concerns the automated calibration of semiconductor spin qubits, while the outlook highlights extensions toward edge-computing approaches in detector systems.The automated calibration of quantum dots is a key prerequisite for realizing scalable quantum computers. [...]

Single-crystal turbine blades made of nickel-based superalloys, such as CMSX-4, are of great importance for gas turbines due to their excellent high-temperature properties, however, they are subject to various damage mechanisms. Repairing these costly components is desirable for both ecological and economic reasons; however, it poses a challenge as the single-crystal microstructure in the repair area must be restored. [...]