Features - R-D-BioTech-Alaska/Qelm GitHub Wiki
Features
- Quantum Parameter Optimization: Gradient-based optimization via the Parameter Shift Rule.
- Advanced Quantum Circuits: Implements entangling gates with multiple layers.
- Thread-Safe GUI with Training Feedback: New GUI-based interface for training, inference, and model management.
- Synthetic and Real Dataset Support: Train with synthetic datasets for testing or real-world text data.
- Resource Monitoring: Integrated system resource usage monitoring (CPU/GPU).
- Enhanced Logging: Threaded logging ensures training progress and errors are visible in real-time.