Experimental language model built around trainable quantum circuits and channels
About QELM
QELM is a public experimental language-model framework for studying trainable quantum circuits and quantum channels inside next-token generation. It includes training, dataset preparation, saved-model tools, a lightweight chat interface, and multiple quantum and classical backend paths.
PlatformsWindows, Linux
✓ VerifiedSep 22, 2026
Key features
- Trainable quantum circuits for next-token generation
- Quantum channel integration
- Dataset preparation tools
- Saved-model utilities
- Lightweight chat interface
- Multiple quantum and classical backend paths
Made by
R&D BioTech Alaska
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