Expand description
Quantum ML Pipeline
This module defines the quantum machine learning pipeline structure.
Structs§
- Classical
Layer - Classical layer
- Feature
Engineering Stage - Feature engineering stage
- Model
Training Stage - Model training stage
- Performance
Metrics - Performance metrics
- Pipeline
Configuration - Pipeline configuration
- Post
Processing Stage - Post-processing stage
- Preprocessing
Stage - Preprocessing stage
- Quantum
Circuit - Quantum circuit representation
- Quantum
Encoding Stage - Quantum encoding stage
- Quantum
Feature - Quantum feature
- Quantum
Feature Map - Quantum feature map
- Quantum
Gate - Quantum gate
- Quantum
Kernel - Quantum kernel
- Quantum
Layer - Quantum layer
- QuantumML
Pipeline - Quantum ML Pipeline
- Quantum
Metrics - Quantum-specific metrics
- Quantum
Resource Usage - Quantum resource usage
- Quantum
State Preparation - Quantum state preparation
- Resource
Usage Metrics - Resource usage metrics
- Variational
Ansatz - Variational ansatz
Enums§
- Calibration
Method - Calibration method
- Feature
Transformation - Feature transformation
- Model
Architecture - Model architecture
- Objective
Function - Objective function
- Optimization
Method - Optimization method
- Output
Transformation - Output transformation
- Pipeline
Stage - Pipeline stage
- Preprocessing
Step - Preprocessing step
- Quantum
Encoding Method - Quantum encoding methods
- Quantum
Layer Type - Quantum layer types
- State
Initialization - State initialization methods
- Training
Algorithm - Training algorithm
- Training
State - Training state
- Uncertainty
Quantification - Uncertainty quantification