Module performance_prediction 

Performance Prediction Models for Circuit Execution Time Estimation

This module provides sophisticated models for predicting quantum circuit execution times across different simulation backends using SciRS2 analysis tools and machine learning techniques.

Structs

ComplexityMetrics

Circuit complexity metrics for prediction

ExecutionDataPoint

Historical execution data point

PerformanceHardwareSpecs

Hardware specifications for context

PerformancePredictionConfig

Configuration for performance prediction models

PerformancePredictionEngine

Performance prediction engine

PerformanceTimingStatistics

Timing statistics

PredictionMetadata

Metadata about the prediction process

PredictionResult

Prediction result with confidence metrics

PredictionStatistics

Overall prediction engine statistics

ResourceMetrics

Resource requirements metrics

TrainedModel

Trained machine learning model

TrainingStatistics

Training statistics for models

Enums

ModelType

Performance prediction model types

PredictionStrategy

Prediction strategy for execution time estimation

Functions

create_performance_predictor

Convenience function to create a performance prediction engine with default config

predict_circuit_execution_time

Convenience function to predict execution time for a circuit