Agnuxo/nebula-photonic-v1-DEMO

NEBULA Photonic Neural Network v1.0

Model Description

NEBULA-Photonic-v1.0 is an authentic photonic neural network for spatial reasoning tasks.

Team: Francisco Angulo de Lafuente - Project NEBULA Team

Performance

• Test Accuracy: 50.0%
• Random Baseline: 36.0%
• Improvement: +14.0 percentage points

Architecture

• Model Type: PhotonicMazeSolver
• Parameters: 14,430
• Photonic Neurons: 16
• Quantum Memory: 64 neurons (4-qubit each)
• Hidden Dimensions: 160

Usage

# Download and load model
from huggingface_hub import hf_hub_download
import torch

model_path = hf_hub_download(
    repo_id="Agnuxo/nebula-photonic-v1", 
    filename="NEBULA_AlphaMaze_Model.pt"
)

checkpoint = torch.load(model_path, map_location='cpu')
# See photonic_maze_solver.py for model implementation

Applications

• Robotics navigation
• Game AI spatial reasoning
• Route optimization
• Research in photonic computing

Project Philosophy

"Soluciones sencillas para problemas complejos, sin placeholders y con la verdad por delante"

Francisco Angulo de Lafuente - Project NEBULA Team