Expand description
SciRS2 integration layer for quantum machine learning
This module provides integration with the SciRS2 scientific computing framework, enabling quantum ML models to leverage SciRS2’s optimized tensor operations, distributed training capabilities, and serialization formats.
Modules§
- integration
- Integration helper functions
Structs§
- Data
Loader Iterator - Iterator for DataLoader
- SciR
S2Array - SciRS2 array wrapper for quantum ML operations
- SciR
S2Data Loader - SciRS2 DataLoader for batch processing
- SciR
S2Dataset - SciRS2 Dataset wrapper for quantum ML
- SciR
S2Distributed Trainer - SciRS2 distributed training support
- SciR
S2Optimizer - SciRS2 optimization interface
- SciR
S2Serializer - SciRS2 model serialization interface
Enums§
- SciR
S2Device - SciRS2 Device enumeration
Traits§
- Grad
Function - Trait for gradient functions
- SciR
S2Tensor - Trait for tensor operations compatible with SciRS2