FlorianFuerrutter/genQC
Generative Quantum Circuits
Leverages multimodal diffusion models to synthesize quantum circuits from natural language prompts and unitary matrices, supporting both discrete gates and parameterized operations. The pipeline integrates OpenCLIP for text encoding and supports multiple quantum backends (CUDA-Q, Qiskit) for circuit compilation and simulation. Pre-trained models are distributed via Hugging Face with automatic weight downloading, enabling few-shot fine-tuning and inference with configurable noise schedules.
57 stars and 2,712 monthly downloads. Available on PyPI.
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57
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Jupyter Notebook
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Last pushed
Mar 09, 2026
Monthly downloads
2,712
Commits (30d)
0
Dependencies
14
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