We're proud to announce the release of the Quantum Evolution Kernel! It's still an early version, so feedback is very much welcome.

# What is it?

Quantum evolution kernel is an open-source library designed for anyone interested in applying quantum computing to graph machine learning -- and you don’t even need a quantum computer in your living room to start using it! It has a wide range of graph machine learning applications, including prediction of molecular toxicity, as shown in the tutorial.

# Why is it exciting?

Quantum computing has huge potential, but it needs to be accessible and practical to make a real impact. This library is a step toward building a quantum tools ecosystem that researchers, developers, and innovators can start using today.

# What's next?

We're working with researchers to turn more quantum research papers into usable open-source libraries. We hope to build an open ecosystem where developers, researchers, and enthusiasts can experiment, contribute, and shape the future of quantum computing together.

# Links

- Code: https://github.com/pasqal-io/quantum-evolution-kernel

- Doc: https://pasqal-io.github.io/quantum-evolution-kernel/latest/

- Our community portal & slack: https://community.pasqal.com/