Expand description
TensorFlow Quantum compatibility layer for QuantRS2-ML
This module provides a compatibility layer that mimics TensorFlow Quantum APIs, allowing easy migration of TFQ models to QuantRS2 while maintaining familiar interfaces and conventions.
Modules§
- tfq_
utils - TensorFlow Quantum-style utilities
Structs§
- PQCLayer
- TensorFlow Quantum-style PQC (Parameterized Quantum Circuit) layer
- Quantum
Circuit Layer - TensorFlow Quantum-style quantum layer
- Quantum
Convolutional Layer - Quantum convolutional layer (TFQ-style)
- Quantum
Dataset - TensorFlow Quantum-style quantum dataset utilities
- Quantum
Dataset Iterator - Iterator for quantum dataset batches
- TFQCircuit
Format - TensorFlow Quantum circuit format
- TFQGate
- TensorFlow Quantum gate representation
- TFQModel
- TensorFlow Quantum-style model builder
Enums§
- Data
Encoding Type - Data encoding types for TFQ compatibility
- Padding
Type - Padding types for quantum convolution
- Parameter
Init Strategy - Parameter initialization strategies
- Regularization
Type - Regularization types
- TFQLoss
Function - TensorFlow Quantum loss functions
- TFQOptimizer
- TensorFlow Quantum optimizers
Traits§
- TFQLayer
- TensorFlow Quantum layer trait