Expand description
Adaptive QEC Methods, ML Integration, and Real-time Optimization
Structs§
- Access
Control - Access control for dashboard
- Actuator
Config - Actuator configuration
- Adaptive
Learning Config - Adaptive learning configuration
- AdaptiveQEC
Config - Adaptive QEC configuration
- Alert
Rule - Alert rule definition
- Alert
Suppression - Alert suppression configuration
- Alerting
Config - Alerting configuration
- Batch
Processing Config - Batch processing configuration
- Coherence
Times - Coherence times
- Concept
Drift Config - Concept drift detection configuration
- Connectivity
Constraints - Connectivity constraints
- Constraint
Satisfaction Config - Constraint satisfaction configuration
- Dashboard
Config - Dashboard configuration
- Data
Augmentation Config - Data augmentation configuration
- Data
Collection Config - Data collection configuration
- Data
Preprocessing Config - Data preprocessing configuration
- Data
Retention - Data retention configuration
- Domain
Adaptation Config - Domain adaptation configuration
- Drift
Detection - Drift detection configuration
- Environment
Config - Environment configuration
- Escalation
Level - Escalation level definition
- Escalation
Rules - Escalation rules
- Feedback
Control Config - Feedback control configuration
- Hardware
Constraints - Hardware constraints
- Inference
Caching - Inference caching configuration
- Inference
Optimization Config - Inference optimization configuration
- Layer
Config - Layer configuration
- Learning
Rates - Learning rates for meta-learning
- MLInference
Config - ML inference configuration
- MLTraining
Config - ML training configuration for QEC
- Meta
Learning Config - Meta-learning configuration
- Meta
Optimization Config - Meta-optimization configuration
- Meta
Regularization - Meta-regularization configuration
- Model
Architecture Config - Model architecture configuration
- Model
Deployment - Model deployment configuration
- Model
Management Config - Model management configuration
- Model
Monitoring - Model monitoring configuration
- Model
Update Config - Model update configuration
- Model
Versioning - Model versioning configuration
- Monitoring
Alerting Config - Monitoring alerting configuration
- Noise
Characteristics - Noise characteristics of sensors
- Online
Learning Config - Online learning configuration
- Optimization
Config - Optimization configuration for adaptive QEC
- Performance
Monitoring - Performance monitoring for models
- Prediction
Config - Prediction configuration for adaptive QEC
- QECML
Config - QEC machine learning configuration
- QECMonitoring
Config - QEC monitoring configuration
- QECOptimization
Config - QEC optimization configuration
- Realtime
Optimization Config - Real-time optimization configuration
- Resource
Allocation - Resource allocation for deployment
- Resource
Constraints - Resource constraints for real-time optimization
- Scaling
Config - Scaling configuration
- Sensor
Config - Sensor configuration
- Similarity
Metrics - Similarity metrics for domains
- Source
Domain - Source domain definition
- Storage
Config - Storage configuration
- Suppression
Rule - Suppression rule
- Task
Distribution Config - Task distribution configuration
- Training
Data Config - Training data configuration
- Training
Parameters - Training parameters
- Transfer
Learning Config - Transfer learning configuration
- Validation
Config - Validation configuration
Enums§
- Activation
Function - Activation functions
- Actuator
Type - Types of actuators
- Adaptation
Method - Domain adaptation methods
- Adaptation
Strategy - Adaptation strategies for QEC
- Alert
Action - Alert actions
- Alert
Channel - Alert channels
- Alert
Severity - Alert severity levels
- Architecture
Type - Architecture types
- Archival
Strategy - Archival strategies
- Augmentation
Technique - Data augmentation techniques
- Cache
Eviction Policy - Cache eviction policies
- Connection
Pattern - Connection patterns in neural networks
- Consistency
Level - Consistency levels
- Control
Algorithm - Control algorithms for feedback
- Dashboard
Component - Dashboard components
- Data
Source - Data sources for ML training
- Deployment
Strategy - Deployment strategies
- Dimensionality
Reduction Method - Dimensionality reduction methods
- Drift
Detection Method - Drift detection methods
- Drift
Response - Responses to concept drift
- Environment
Type - Environment types
- Feature
Selection Method - Feature selection methods
- Hardware
Acceleration - Hardware acceleration options
- Hardware
Constraint - Hardware constraint types
- Inference
Mode - Inference modes
- Layer
Type - Layer types
- Learning
Algorithm - Learning algorithms for adaptive QEC
- Learning
Rate Adaptation - Learning rate adaptation strategies
- Loss
Function - Loss functions
- MLModel
- ML models for QEC
- Meta
Learning Algorithm - Meta-learning algorithms
- Meta
Optimizer - Meta-optimizers
- Model
Optimization - Model optimization techniques
- Monitoring
Metric - Monitoring metrics
- Monitoring
Target - Monitoring targets
- Normalization
Method - Normalization methods
- Notification
Channel - Notification channels
- Optimization
Objective - Optimization objectives
- Optimization
Strategy - Optimization strategies
- Optimization
Target - Optimization targets
- Optimizer
Type - Optimizer types
- Performance
Constraint - Performance constraint types
- Performance
Metric - Performance metrics for QEC
- Realtime
Algorithm - Real-time optimization algorithms
- Regularization
Type - Types of regularization
- Resource
Constraint - Resource constraint types
- Rollback
Strategy - Rollback strategies
- Scaling
Metric - Scaling metrics
- Sensor
Type - Types of sensors
- Storage
Backend - Storage backends
- Task
Generation Strategy - Task generation strategies
- Transfer
Strategy - Transfer learning strategies
- Update
Frequency - Update frequency options
- Update
Strategy - Update strategies
- Update
Trigger - Update triggers
- User
Role - User roles
- Validation
Method - Validation methods
- Validation
Strategy - Validation strategies for domain adaptation
- Version
Control System - Version control systems