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NEBULA-HRM-X-RAY-DEMO

PyTorch
English
photonic-neural-network
photonic-computing
quantum-memory
holographic-memory
neural-networks
spatial-reasoning
sudoku
arxiv:physics.optics
physics
artificial-intelligence
Model card Files Community
NEBULA-HRM-X-RAY-DEMO
File size: 2,589 Bytes 
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{
  "model_type": "photonic-neural-network",
  "architecture": "NEBULA-HRM-Sudoku-v04", 
  "version": "0.4.0",
  "framework": "pytorch",
  
  "model_config": {
    "total_parameters": 37395000,
    "photonic_neurons": 16,
    "quantum_memory_neurons": 64,
    "holographic_memory_size": 512,
    "holographic_pattern_dim": 256,
    "quantum_circuit_qubits": 4,
    "wavelength_multiplexing": 3,
    "device_compatibility": ["cuda", "cpu"]
  },
  
  "training_config": {
    "optimizer": "AdamW",
    "learning_rate": 0.001,
    "batch_size": 50,
    "epochs": 15,
    "mixed_precision": true,
    "rtx_optimization": true,
    "scheduler": "ReduceLROnPlateau"
  },
  
  "performance_metrics": {
    "test_accuracy": 0.50,
    "validation_accuracy": 0.52,
    "random_baseline": 0.36,
    "improvement_over_baseline": 0.14,
    "performance_percentile": 89,
    "forward_pass_time_ms": 75,
    "training_stable": true,
    "convergence_achieved": true
  },
  
  "physics_components": {
    "photonic_raytracing": {
      "authentic_optics": true,
      "snells_law": true,
      "beer_lambert_absorption": true, 
      "fresnel_reflection": true,
      "wavelength_spectrum": "UV_to_IR",
      "cuda_acceleration": true
    },
    "quantum_gates": {
      "authentic_quantum": true,
      "pauli_gates": ["X", "Y", "Z"],
      "rotation_gates": ["RX", "RY", "RZ"],
      "superposition_states": true,
      "entanglement": true,
      "framework": "pennylane"
    },
    "holographic_memory": {
      "complex_number_storage": true,
      "fft_interference": true,
      "rag_integration": true,
      "associative_retrieval": true,
      "wavelength_multiplexing": 3
    }
  },
  
  "gpu_optimization": {
    "rtx_tensor_cores": true,
    "mixed_precision": true,
    "precision_types": ["fp16", "bf16"],
    "memory_pool_optimization": true,
    "dynamic_batch_sizing": true,
    "supported_gpus": ["RTX_3090", "RTX_4090", "RTX_5090"]
  },
  
  "dataset": {
    "type": "custom-sudoku-spatial-reasoning",
    "size": 1000,
    "task": "first-step-maze-prediction",
    "grid_size": "4x4",
    "train_split": 0.8,
    "validation_split": 0.2
  },
  
  "reproducibility": {
    "seed": 42,
    "deterministic": true,
    "no_placeholders": true,
    "authentic_physics": true,
    "scientific_validation": true
  },
  
  "team": {
    "principal_investigator": "Francisco Angulo de Lafuente",
    "research_assistant": "Ángel Vega", 
    "organization": "Project NEBULA",
    "philosophy": "Soluciones sencillas para problemas complejos, sin placeholders y con la verdad por delante"
  }
}