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Quantum-Classical Hybrid Learning Algorithms
This module provides advanced hybrid learning algorithms that combine classical machine learning techniques with quantum computing to achieve enhanced performance for complex learning tasks.
Structs§
- Dense
Layer - Dense layer for classical processing
- Epoch
Details - Fusion
Layer - Fusion layer for combining quantum and classical information
- Hybrid
Learning Config - Configuration for hybrid learning algorithms
- Hybrid
Learning Factory - Factory for creating different types of hybrid learning models
- Hybrid
Neural Network - Hybrid quantum-classical neural network
- Parameterized
Quantum Circuit - Parameterized quantum circuit
- Quantum
Advantage Analysis - Quantum advantage analysis result
- Quantum
Gate Info - Training
Data - Training data structure
- Training
History - Training history and metrics
Enums§
- Activation
Function - Activation functions
- Fusion
Type - Interaction
Type - Types of quantum-classical interactions