Quantify control-software framework

Qblox provides a software package called Quantify to control experiments using the Qblox Cluster, SPI hardware and third party instruments. Quantify is a python-based, data acquisition platform focused on providing all the necessary tools for Quantum Computing experiments. It is built on top of QCoDeS, and is the successor of the extensively tested PyQED measurement environment. The simple software framework enables setting up typical characterisation experiments and advanced experimental procedures with ease-of-use. The open-source BSD 4 licensed platform is initiated by Qblox and Orange Quantum System. All the functionality of the software is well-documented in Read-the-Docs, basic tutorials are given for quick set-up and start of the measurement, whereas advanced sequencing tutorials are featured for more complex experiments. Quantify is provided together with APIs that can be interfaced at the level of SCPI, python or QCoDeS. All of the levels are open source, well-documented and tested in a CI/CD pipeline. Quantify consists of two packages: Quantify-Core and Quantify-Scheduler. Quantify-core is the core module that contains all basic functionality to control experiments. This includes a framework to control instruments, a data-acquisition loop, data storage and analysis, parameter monitoring and live visualization of experiments. Quantify-Scheduler is a module for writing quantum programs. It features a unique hybrid control model allowing quantum gate- and pulse-level descriptions to be combined in a clearly-defined and hardware-agnostic way. Quantify-Scheduler is designed to allow experimentalists to easily define and visualise complex experiments, and produces synchronized pulse schedules to be distributed to control hardware.