We design our software to work on the leading cloud quantum computing platforms, to ensure a smooth integration, testing and benchmarking across models, computing systems and workflows. And everything we code can run on actual quantum computers.Github
We are building a comprehensive framework to offer your organisation the ability to experiment with benchmarking protocols, machine learning models and optimisation workflows on real quantum hardware. Entropy fully integrates with the major cloud quantum computing platformsJoin the waiting list
Install and start your project with our EntropicaQAOA, a free and open-source software package implementing the quantum approximate optimisation algorithm (QAOA).
QAOA is an algorithm designed for near-term quantum computers, with applications to machine learning and discrete optimisation.
The QML Lab is our web-based platform to experiment with and understand quantum machine learning models and algorithms.
Try different quantum circuits configurations to perform supervised learning of a binary classifier for a bidimensional dataset.
We work with the quantum and classical computing systems of: