Skip to content
Quantum Machine Learning R&D
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.


Quantopo is a quantum machine learning project focused on leveraging the geometry of quantum mechanics within quantum computers to improve on tools in statistical modeling and topological data analysis.

As of today, this repo contains work on Quantopo's first proof-of-concept with a continuous-variable quantum architecture model of integrated photonic circuits (under projects/QGLM/Xanadu) and data-driven quantum circuit learning with Rigetti's quantum backend (under projects/DDQCL/Rigetti). Proprietary algorithms are developed in-house. Our open-sourced quantum algorithms under research and development will be released periodically.

Moreover, proper documentations are coming soon. In the meantime, checkout this Quantum Machine Learning (QML) course to get up to speed on QML: The GitLab account associated with the course can be found at:

Update: 3/27/19

-Check out the new content under ml_docs/watson_ibm. Bringing new materials for learning the Data Science pipeline on Watson Studio. ;)

Update 4/16/19

-New content under api/examples/kaggle_learning. API development for getting Data Science into production! A three-part rollout!

You can’t perform that action at this time.