Module advanced_ml_error_mitigation 

Advanced Machine Learning Error Mitigation Techniques

This module implements state-of-the-art machine learning approaches for quantum error mitigation, going beyond traditional ZNE and virtual distillation. It includes deep learning models, reinforcement learning agents, transfer learning capabilities, and ensemble methods for robust quantum error mitigation across different hardware platforms and noise models.

Key features:

• Deep neural networks for complex noise pattern learning
• Reinforcement learning for optimal mitigation strategy selection
• Transfer learning for cross-device mitigation optimization
• Adversarial training for robustness against unknown noise
• Ensemble methods combining multiple mitigation strategies
• Online learning for real-time adaptation to drifting noise
• Graph neural networks for circuit structure-aware mitigation
• Attention mechanisms for long-range error correlations

Structs

AdvancedMLErrorMitigator

Main advanced ML error mitigation system

AdvancedMLMitigationConfig

Advanced ML error mitigation configuration

AdvancedMLMitigationResult

Advanced ML error mitigation result

DeepMitigationNetwork

Deep learning model for error mitigation

DeviceCharacteristics

Device characteristics for transfer learning

EnsembleMitigation

Ensemble mitigation combining multiple strategies

Experience

Experience for reinforcement learning

GraphConvLayer

Graph convolution layer

GraphMitigationNetwork

Graph Neural Network for circuit-aware mitigation

PerformanceMetrics

Performance metrics for mitigation models

PerformanceTracker

Performance tracking for mitigation models

QLearningMitigationAgent

Reinforcement learning agent for mitigation strategy selection

RLTrainingStats

Reinforcement learning training statistics

TransferLearningModel

Transfer learning model for cross-device mitigation

TransferStats

Transfer learning statistics

Enums

ActivationFunction

Activation functions for neural networks

EnsembleStrategy

Ensemble combination strategies

GraphPooling

Graph pooling methods

MitigationAction

Mitigation actions for reinforcement learning

Traits

MitigationModel

Trait for mitigation models

Functions

benchmark_advanced_ml_error_mitigation

Benchmark function for advanced ML error mitigation