Happy 4th Birthday Quantify

Quantify is an open-source, Python-based, high-level data acquisition framework for quantum-computing and solid-state physics experiments. Inspired by PycQED, Quantify is a device-agnostic and supports a growing number of hardware backends.

Four years ago, Quantify was born out of an MIT R&D funded research project and has since been professionally maintained by Qblox and OrangeQS, and developed by a growing international community.

At its heart, Quantify is a intuitive and flexible paradigm that will continue to enable qubit characterization and pulse-level experiments. Happy birthday, Quantify! Here’s to many more years.

Quantify open-source python data acquisition framework quantum computing solid-state physics experiments

Quantify-scheduler offers a quantum-circuit layer, a quantum-device layer and a control-hardware layer.

Developed to tackle the challenges faced by quantum computing technology developers, Quantify opens up opportunities for more efficient calibration routines and variational quantum algorithms. This is thanks to Quantify’s novel hybrid gate-pulse control, making it easier for users to express complex quantum experiments.

The intuitive measurement-paradigm is implemented via two distinct functionalities: Quantify-core, to define the data acquisition loop of experiments, and Quantify-scheduler to communicate and execute an experiment schedule across the device, circuit and control hardware layer.

In addition to the device-agnostic approach based on QCoDeS drivers, Quantify is compatible with various qubit modalities such as transmons, spin or NV-center qubits. The well documented API and extensive body of user guides allow easy introduction to the framework.

If you want to learn more or test the software, visit the Quantify website, where you can download the latest version and join the Slack channel for support. As an open-source project, all contributions towards its continuous development are welcome – join the community today!

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