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.