Expand description
Complete SciRS2 Integration for QuantRS2
This module provides a fully migrated integration layer with SciRS2, utilizing scirs2_core::simd_ops for all linear algebra operations to achieve optimal performance for quantum simulation.
§Key Features
- Full migration to
scirs2_core::simd_ops::SimdUnifiedOps
- Complex number SIMD operations with optimal vectorization
- High-performance matrix operations using SciRS2 primitives
- Memory-optimized data structures with SciRS2 allocators
- GPU-ready abstractions for heterogeneous computing
Structs§
- BLAS
- Backend
Stats - Comprehensive performance statistics for the SciRS2 backend
- EigResult
- FFTPlan
- FftEngine
- LAPACK
- Matrix
- Memory
Pool - SciR
S2Backend - Advanced SciRS2-powered quantum simulation backend
- SciR
S2Matrix - High-performance matrix optimized for SciRS2 SIMD operations
- SciR
S2Memory Allocator - SciRS2 memory allocator optimized for SIMD operations
- SciR
S2Parallel Context - Parallel execution context for SciRS2 operations
- SciR
S2Simd Config - Configuration for SciRS2 SIMD operations
- SciR
S2Simd Context - SciRS2 SIMD context for vectorized quantum operations
- SciR
S2Vector - High-performance vector optimized for SciRS2 SIMD operations
- SciR
S2VectorizedFFT - Vectorized FFT engine using SciRS2 SIMD operations
- Sparse
Matrix - SvdResult
- Vector
Enums§
Functions§
- benchmark_
scirs2_ integration - Performance benchmarking for SciRS2 integration