Expand description
Quantum Explainable AI (XAI)
This module implements explainability and interpretability tools specifically designed for quantum neural networks and quantum machine learning models, helping users understand quantum model decisions and internal representations.
Structs§
- Circuit
Explanation - Circuit-specific explanation
- Explanation
Result - Explanation result containing multiple types of explanations
- Gate
Contribution - Individual gate contribution
- Layer
Analysis - Layer-wise analysis
- Quantum
ExplainableAI - Main quantum explainable AI engine
- Quantum
State Properties - Quantum state properties for explanation
Enums§
- Aggregation
Method - Aggregation methods for explanations
- Attribution
Method - Attribution methods for quantum features
- Explanation
Method - Explanation methods for quantum models
- LRPRule
- Layer-wise relevance propagation rules
- Local
Model Type - Local model types for LIME
- Perturbation
Method - Perturbation methods for saliency
Functions§
- create_
default_ xai_ config - Helper function to create default explainable AI configuration