Quantum Evolution Kernel (QEK)

QEK is Pasqal's open-source graph machine learning library that uses quantum-driven similarity metrics derived from neutral-atom dynamics to build graph kernels for classification and regression on graph data.

Quantum Evolution Kernel (QEK) is one of 8 APIs that Pasqal publishes on the APIs.io network.

Tagged areas include Graph Machine Learning, Quantum Machine Learning, Library, and Open Source. The published artifact set on APIs.io includes a GitHub repository.

API entry from apis.yml

apis.yml Raw ↑
aid: pasqal:quantum-evolution-kernel
name: Quantum Evolution Kernel (QEK)
tags:
- Graph Machine Learning
- Quantum Machine Learning
- Library
- Open Source
humanURL: https://github.com/pasqal-io/quantum-evolution-kernel
properties:
- url: https://github.com/pasqal-io/quantum-evolution-kernel
  type: GitHubRepository
description: QEK is Pasqal's open-source graph machine learning library that uses quantum-driven similarity
  metrics derived from neutral-atom dynamics to build graph kernels for classification and regression
  on graph data.