qiskit-community/qiskit-machine-learning
An open-source library built on Qiskit for quantum machine learning tasks at scale on quantum hardware and classical simulators
This library helps quantum machine learning researchers and practitioners design and experiment with machine learning models that leverage quantum computing principles. It takes classical datasets as input and produces classification or regression models that can run on quantum hardware or simulators. Users are typically quantum algorithm developers or scientists exploring the cutting edge of quantum AI.
951 stars. Used by 3 other packages. Actively maintained with 7 commits in the last 30 days. Available on PyPI.
Use this if you are developing or researching machine learning algorithms that can benefit from quantum computational building blocks like quantum kernels or quantum neural networks.
Not ideal if you are solely focused on classical machine learning applications or do not have access to or interest in quantum computing resources.
Stars
951
Forks
418
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 27, 2026
Commits (30d)
7
Dependencies
6
Reverse dependents
3
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