trustformers-core 0.1.1

//! Photonic neural networks implementation

#![allow(unused_variables)] // Photonic network implementation

use crate::optical::OpticalSignal;
use anyhow::Result;

/// Photonic neural network
#[derive(Debug, Clone)]
pub struct PhotonicNeuralNetwork {
    pub layers: Vec<PhotonicLayer>,
    pub num_inputs: usize,
    pub num_outputs: usize,
    pub wavelength: f64,
}

/// Photonic layer implementation
#[derive(Debug, Clone)]
pub struct PhotonicLayer {
    pub input_size: usize,
    pub output_size: usize,
    pub coupling_matrix: Vec<Vec<f64>>,
    pub phase_shifts: Vec<f64>,
    pub nonlinearity: PhotonicNonlinearity,
}

/// Photonic nonlinearity types
#[derive(Debug, Clone, Copy)]
pub enum PhotonicNonlinearity {
    Saturable,
    Kerr,
    ElectroOptic,
    Linear,
}

impl PhotonicNeuralNetwork {
    pub fn new(num_inputs: usize, num_outputs: usize) -> Self {
        Self {
            layers: Vec::new(),
            num_inputs,
            num_outputs,
            wavelength: 1550.0,
        }
    }

    pub fn add_layer(&mut self, layer: PhotonicLayer) {
        self.layers.push(layer);
    }

    pub fn set_coupling(&mut self, layer: usize, neuron: usize, coupling: f64) -> Result<()> {
        if layer >= self.layers.len() {
            return Err(anyhow::anyhow!("Layer index out of bounds"));
        }
        if neuron >= self.layers[layer].coupling_matrix.len() {
            return Err(anyhow::anyhow!("Neuron index out of bounds"));
        }
        // Simplified setting - would need proper indexing
        Ok(())
    }

    pub fn forward(&self, inputs: &[OpticalSignal]) -> Result<Vec<OpticalSignal>> {
        let mut current_signals = inputs.to_vec();

        for layer in &self.layers {
            current_signals = layer.process(&current_signals)?;
        }

        Ok(current_signals)
    }
}

impl PhotonicLayer {
    pub fn new(input_size: usize, output_size: usize) -> Self {
        Self {
            input_size,
            output_size,
            coupling_matrix: vec![vec![0.0; input_size]; output_size],
            phase_shifts: vec![0.0; input_size],
            nonlinearity: PhotonicNonlinearity::Linear,
        }
    }

    pub fn process(&self, inputs: &[OpticalSignal]) -> Result<Vec<OpticalSignal>> {
        // Simplified processing
        let mut outputs = Vec::new();
        for _ in 0..self.output_size {
            outputs.push(OpticalSignal::new(1550.0, 0.001));
        }
        Ok(outputs)
    }
}