tensorflow/quantum
An open-source Python framework for hybrid quantum-classical machine learning.
TensorFlow Quantum helps quantum algorithm researchers and machine learning practitioners combine quantum mechanics with traditional machine learning. It takes quantum circuit definitions and classical data, processing them to produce results for advanced quantum computing research. This framework is for those exploring novel hybrid quantum-classical computing workflows, especially when leveraging Google's quantum offerings.
2,098 stars. Actively maintained with 1 commit in the last 30 days.
Use this if you need to build, simulate, and train models that integrate quantum circuits with classical machine learning techniques at a high performance and scalable level.
Not ideal if you are looking for a purely classical machine learning framework or do not intend to work with quantum data and algorithms.
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2,098
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646
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
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1
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