Quantify is an open-source, Python-based advanced data acquisition framework designed for quantum computing and condensed matter physics experiments. Built on QCoDeS, which supports the control of diverse measurement instruments, Quantify consists of Quantify-core and Quantify-scheduler, facilitating essential aspects of the experimental process such as data storage and real-time plotting. It also provides rapid configuration support and precise timing control, allowing researchers to design and execute complex quantum experiments with ease.

The SPI rack is a stable and scalable system for S4g DC and D5a DC voltage source modules, recognized internationally as the standard for ultra-low-noise DC sources. With a galvanically isolated control interface and an isolated power supply equipped with a gyrator filter, the SPI rack minimizes ground loops and interference, making it an ideal solution for various quantum experiments.

Cluster is the world's leading modular quantum control stack, featuring an expandable and modular architecture optimized for the evolving demands of quantum experiments and the development roadmaps of industrial research laboratories. As a core component in quantum computing environments, Cluster facilitates top-tier experiments and seamlessly scales to meet the needs of the NISQ era, regardless of qubit technology.