Quantum Evolution Kernel (FOSS quantum graph machine learning lib)
Hi HN, 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…
Quantum Evolution Kernel (FOSS quantum graph machine learning lib) launched on March 11, 2025 with 11 votes, #2,427 of 7,215 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Quantum Evolution Kernel is an open-source library that applies quantum computing to graph machine learning tasks without requiring physical quantum hardware. It supports applications like molecular toxicity prediction and is designed for researchers and developers exploring quantum machine learning. The library is in early release and available on GitHub.
written from the facts on this page · September 2026
From the sources
A Graph Machine Learning library using Quantum Computing - pasqal-io/quantum-evolution-kernel
The Quantum Evolution Kernel is a Python library designed for the machine learning community to help users design quantum-driven similarity metrics for graphs and to use them inside kernel-based machine learning algorithms for graph data. The core of the library is focused on the development of a classification algorithm for molecular-graph dataset as it is presented in the published paper Quantum feature maps for graph machine learning on a neutral atom quantum processor ( Journal Paper , arXiv ). Users setting their first steps into quantum computing will learn how to implement the core algorithm in a few simple steps and run it using the Pasqal Neutral Atom QPU. More experienced users…from github.com
In the maker’s words, at launch
Hi HN, 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…
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