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Features

Brenton Carter edited this page Dec 20, 2024 · 1 revision

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.
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