merlinquantum/merlin
MerLin enables researchers to build, train, and benchmark photonic quantum machine learning models using familiar ML tools.
This project helps AI and machine learning researchers and practitioners explore quantum computing's potential in their models. It allows you to integrate 'quantum layers' into existing machine learning models, like those built with PyTorch. You feed in your typical AI model data and get back enhanced model performance or efficiency, preparing your work for future quantum processors without needing quantum expertise.
Use this if you are an AI/ML practitioner looking to experiment with photonic quantum machine learning to potentially improve your model's performance or explore new algorithmic approaches.
Not ideal if you are solely focused on classical machine learning optimization and do not have any interest in exploring the potential of quantum computing.
Stars
24
Forks
17
Language
Python
License
MIT
Category
Last pushed
Mar 26, 2026
Commits (30d)
0
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