Hi HN,<p>We're proud to announce the release of the Quantum Evolution Kernel! It's still an early version, so feedback is very much welcome.<p># What is it?<p>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.<p># Why is it exciting?<p>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.<p># What's next?<p>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.<p># Links<p>- Code: <a href="https://github.com/pasqal-io/quantum-evolution-kernel" rel="nofollow">https://github.com/pasqal-io/quantum-evolution-kernel</a><p>- Doc: <a href="https://pasqal-io.github.io/quantum-evolution-kernel/latest/" rel="nofollow">https://pasqal-io.github.io/quantum-evolution-kernel/latest/</a><p>- Our community portal & slack: <a href="https://community.pasqal.com/" rel="nofollow">https://community.pasqal.com/</a>