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//! Metal-accelerated linear algebra operations for macOS
//!
//! This module provides GPU-accelerated linear algebra using Metal Performance Shaders (MPS)
//! and Accelerate framework integration.
//!
//! TODO: Implement using:
//! - Metal Performance Shaders (MPS) for matrix operations
//! - Accelerate.framework for optimized BLAS/LAPACK on Apple Silicon
//! - Custom Metal compute shaders for quantum-specific operations
use crate::error::{Result, SimulatorError};
use scirs2_core::ndarray::{Array2, ArrayView2};
use scirs2_core::Complex64;
use std::sync::Arc;
/// Metal-accelerated linear algebra backend for macOS
pub struct MetalLinalgBackend {
/// Metal device handle (placeholder)
_device: Arc<()>,
/// Enable performance profiling
pub enable_profiling: bool,
}
impl MetalLinalgBackend {
/// Create a new Metal linear algebra backend
pub fn new() -> Result<Self> {
// TODO: Initialize Metal device
// TODO: Create MPS context
// TODO: Setup Accelerate framework integration
Err(SimulatorError::GpuError(
"Metal linear algebra not yet implemented. Please use CPU linear algebra on macOS."
.to_string(),
))
}
/// Create an instance optimized for quantum machine learning
pub fn new_qml_optimized() -> Result<Self> {
// TODO: Configure for QML workloads
// - Optimize for small-to-medium matrix operations
// - Enable tensor operations
// - Configure for gradient computations
Err(SimulatorError::GpuError(
"Metal QML optimization not yet implemented".to_string(),
))
}
/// Matrix multiplication using Metal Performance Shaders
pub fn matmul(
&self,
_a: &ArrayView2<Complex64>,
_b: &ArrayView2<Complex64>,
) -> Result<Array2<Complex64>> {
// TODO: Use MPSMatrixMultiplication
Err(SimulatorError::GpuError(
"Metal matrix multiplication not yet implemented".to_string(),
))
}
/// Eigenvalue decomposition using Accelerate framework
pub fn eig(
&self,
_matrix: &ArrayView2<Complex64>,
) -> Result<(Array2<Complex64>, Array2<Complex64>)> {
// TODO: Use Accelerate's LAPACK routines
Err(SimulatorError::GpuError(
"Metal eigenvalue decomposition not yet implemented".to_string(),
))
}
/// Singular value decomposition
pub fn svd(
&self,
_matrix: &ArrayView2<Complex64>,
) -> Result<(Array2<Complex64>, Array2<f64>, Array2<Complex64>)> {
// TODO: Use Accelerate's LAPACK routines or MPS
Err(SimulatorError::GpuError(
"Metal SVD not yet implemented".to_string(),
))
}
/// Check if Metal Performance Shaders is available
pub const fn is_mps_available() -> bool {
// TODO: Check for MPS availability
// Requires macOS 10.13+ for basic MPS
// Requires macOS 11.0+ for advanced features
// Best performance on Apple Silicon
false
}
/// Get Metal device capabilities
pub fn get_device_info() -> String {
// TODO: Query Metal device capabilities
// - GPU family (Apple, Intel, AMD)
// - Unified memory availability
// - Maximum buffer size
// - Compute units
"Metal device info not yet available".to_string()
}
}
// Future implementation notes:
//
// 1. Metal Shaders for Quantum Gates:
// - Implement custom compute shaders for Pauli gates
// - Optimize for sparse operations
// - Use threadgroup memory for local computations
//
// 2. Memory Management:
// - Leverage unified memory on Apple Silicon
// - Implement efficient buffer management
// - Use shared memory between CPU and GPU
//
// 3. Performance Optimizations:
// - Tile-based rendering for large state vectors
// - Parallel command encoding
// - Async compute with multiple command queues
//
// 4. Integration with Accelerate:
// - Use vDSP for signal processing
// - Use BLAS for basic operations
// - Use LAPACK for advanced decompositions