ianrowan/qlearn

Python Library for expressing Quantum Machine Learning Algorithms as well as utilzing core Quantum computing functionality to model quantum behavior.

qLearn

Python Library for expressing Quantum Machine Learning Algorithms as well as utilzing core Quantum computing functionality to model quantum behavior.

The qLearn package includes lightweight modules for analyzing multi-state proablistic systems, along with the ability to utilize quantum mechanical features such as entanglement and superposition to complement the complexity requirements of many Bayes-like probablistic systems.

The paper in which this approach is developed is titled "A Quantum Approach to Machine Learning" and can be found at: https://s3.amazonaws.com/quantum-approach-machine-learning/A+Quantum+Approach+to+Machine+Learning.pdf This discussion formulates the underlying approach and mathmatics behind the implementation in this Library. It is a useful resource for the user of the library to formulate ideas of new use cases and provide exposure to the power these algorithms may hold.