Welcome to QxBranch’s Quantum Feature Detector library documentation!

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QxBranch’s Quantum Feature Detector (QxQFD) is a Python library providing a class of quantum machine learning functions. It provides a simple interface for using quantum transformations to detect features in data as part of a machine learning application stack using Rigetti’s Forest back-end.

For more information about QxBranch, visit our website: https://qxbranch.com

Note

This documentation does not explain quantum computing. While an understanding of the topic is not necessary to use this Quantum Feature Detector library, it will help you to appreciate the content and motivation. We recommend The Best Resources for Learning about Quantum Computing by John Coogan, a comprehensive collection of resources for those looking to learn about quantum computing.

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