A software framework to speed up the research in quantum machine learning
We have started rolling out the second version of quask.
Keep in touch to help us improve our alpha!
What differentiates our software from anything else?
Complex features w/ little code
Easily craft complex machine learning scenarios in just a few lines of code. Our high-level API streamlines the process for researchers.
Reference implementation
Tired of wasting time replicating results from the latest papers? quask serves as a reliable reference implementation for popular literature.
Pedagogical mission
Kickstart your exploration of quantum machine learning with quask. Utilize our set of introductory tutorials to embark on your learning journey.
Backend independent, stable and fully documented, focused toward applications
Backend independent
quask seamlessly integrates with popular frameworks like Qiskit, Pennylane, Braket, and Qibo, utilizing each as a backend for maximum compatibility.
Stable and fully documented
Like any new software, we encounter challenges. We actively address them via extensive testing and detailed documentation to continuously enhance the reliability of our platform.
Focused toward applications
Skip the technical details and dive straight into your tasks. quask simplifies your experience, allowing you to focus on your objectives without unnecessary complexity.
Do you spare 5 minutes? Install and try quask with our Getting Started guide
Getting StartedThese are just some of the features the framework offers
List of projects using quask
Automatic and effective discovery of quantum kernels (arxiv 2023)