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
SciRS2primitives - Memory-optimized data structures with
SciRS2allocators - GPU-ready abstractions for heterogeneous computing
Structs§
- BLAS
- Backend
Stats - Comprehensive performance statistics for the
SciRS2backend - EigResult
- FFTPlan
- FftEngine
- LAPACK
- Matrix
- Memory
Pool - SciR
S2Backend - Advanced SciRS2-powered quantum simulation backend
- SciR
S2Matrix - High-performance matrix optimized for
SciRS2SIMD operations - SciR
S2Memory Allocator SciRS2memory allocator optimized for SIMD operations- SciR
S2Parallel Context - Parallel execution context for
SciRS2operations - SciR
S2Simd Config - Configuration for
SciRS2SIMD operations - SciR
S2Simd Context SciRS2SIMD context for vectorized quantum operations- SciR
S2Vector - High-performance vector optimized for
SciRS2SIMD operations - SciR
S2VectorizedFFT - Vectorized FFT engine using
SciRS2SIMD operations - Sparse
Matrix - SvdResult
- Vector
Enums§
Functions§
- benchmark_
scirs2_ integration - Performance benchmarking for
SciRS2integration