quantrs2-device 0.1.3

//! Enhanced Hardware Benchmarking and Noise Characterization Demo
//!
//! This example demonstrates how to use the enhanced SciRS2-powered benchmarking
//! and noise characterization modules for comprehensive quantum hardware analysis.

use quantrs2_device::prelude::*;

fn main() {
    println!("=== QuantRS2 Enhanced Benchmarking and Noise Characterization Demo ===\n");

    // ========================================================================
    // Part 1: Enhanced Hardware Benchmarking
    // ========================================================================

    println!("Part 1: Enhanced Hardware Benchmarking\n");
    println!("---------------------------------------\n");

    // Configure enhanced benchmarking with all features enabled
    let benchmark_config = EnhancedBenchmarkConfig {
        // Enable ML-based performance prediction
        enable_ml_prediction: true,

        // Enable statistical significance testing
        enable_significance_testing: true,

        // Enable comparative analysis with historical data
        enable_comparative_analysis: true,

        // Enable real-time monitoring
        enable_realtime_monitoring: true,

        // Enable adaptive protocols that adjust based on device characteristics
        enable_adaptive_protocols: true,

        // Enable advanced visualizations
        enable_visual_analytics: true,

        // Select benchmark suites to run
        benchmark_suites: vec![
            EnhancedBenchmarkSuite::QuantumVolume,
            EnhancedBenchmarkSuite::RandomizedBenchmarking,
            EnhancedBenchmarkSuite::CrossEntropyBenchmarking,
            EnhancedBenchmarkSuite::LayerFidelity,
        ],

        // Performance metrics to track
        performance_metrics: vec![
            PerformanceMetric::GateFidelity,
            PerformanceMetric::CircuitDepth,
            PerformanceMetric::ExecutionTime,
            PerformanceMetric::ErrorRate,
            PerformanceMetric::QuantumVolume,
        ],

        // Analysis methods to apply
        analysis_methods: vec![
            AnalysisMethod::StatisticalTesting,
            AnalysisMethod::RegressionAnalysis,
            AnalysisMethod::TimeSeriesAnalysis,
            AnalysisMethod::MLPrediction,
            AnalysisMethod::ComparativeAnalysis,
        ],

        // Reporting configuration
        reporting_options: BenchmarkReportingOptions {
            detailed_reports: true,
            include_visualizations: true,
            export_format: BenchmarkExportFormat::JSON,
            enable_dashboard: true,
        },

        base_config: EnhancedBenchmarkConfig2 {
            num_repetitions: 20,
            shots_per_circuit: 1000,
            max_circuit_depth: 100,
            timeout: std::time::Duration::from_secs(300),
            confidence_level: 0.95,
        },
    };

    println!("Benchmark Configuration:");
    println!(
        "  - ML Prediction: {}",
        benchmark_config.enable_ml_prediction
    );
    println!(
        "  - Statistical Testing: {}",
        benchmark_config.enable_significance_testing
    );
    println!(
        "  - Comparative Analysis: {}",
        benchmark_config.enable_comparative_analysis
    );
    println!(
        "  - Real-Time Monitoring: {}",
        benchmark_config.enable_realtime_monitoring
    );
    println!(
        "  - Benchmark Suites: {} selected",
        benchmark_config.benchmark_suites.len()
    );
    println!(
        "  - Performance Metrics: {} tracked",
        benchmark_config.performance_metrics.len()
    );
    println!(
        "  - Analysis Methods: {} applied\n",
        benchmark_config.analysis_methods.len()
    );

    // Create enhanced benchmark system
    let benchmark = EnhancedHardwareBenchmark::new(benchmark_config);
    println!("✓ Enhanced benchmark system created\n");

    // Note: To run actual benchmarks, you would need a real quantum device:
    // let result = benchmark.run_comprehensive_benchmark(&device)?;
    // println!("Benchmark Results: {:?}", result);

    // ========================================================================
    // Part 2: Enhanced Noise Characterization
    // ========================================================================

    println!("\nPart 2: Enhanced Noise Characterization\n");
    println!("----------------------------------------\n");

    // Configure enhanced noise characterization
    let noise_config = EnhancedNoiseConfig {
        // Enable ML-based noise analysis
        enable_ml_analysis: true,

        // Enable temporal correlation tracking for drift detection
        enable_temporal_tracking: true,

        // Enable spectral analysis for frequency-domain noise
        enable_spectral_analysis: true,

        // Enable multi-qubit correlation analysis
        enable_correlation_analysis: true,

        // Enable predictive noise modeling
        enable_predictive_modeling: true,

        // Enable real-time noise monitoring
        enable_realtime_monitoring: true,

        // Noise models to characterize
        noise_models: vec![
            NoiseModel::Depolarizing,
            NoiseModel::Dephasing,
            NoiseModel::AmplitudeDamping,
            NoiseModel::ThermalRelaxation,
            NoiseModel::CoherentError,
        ],

        // Statistical methods for parameter estimation
        statistical_methods: vec![
            StatisticalMethod::MaximumLikelihood,
            StatisticalMethod::BayesianInference,
            StatisticalMethod::SpectralDensity,
        ],

        // Analysis parameters
        analysis_parameters: AnalysisParameters {
            temporal_window: 3600.0,      // 1 hour in microseconds
            frequency_resolution: 1000.0, // Hz
            correlation_threshold: 0.7,
            ml_update_frequency: 100,
            prediction_horizon: 7200.0, // 2 hours in microseconds
        },

        // Reporting options
        reporting_options: NoiseReportingOptions {
            generate_plots: true,
            include_raw_data: true,
            include_confidence_intervals: true,
            export_format: NoiseExportFormat::JSON,
        },

        base_config: NoiseCharacterizationConfig {
            num_sequences: 100,
            sequence_lengths: vec![1, 2, 4, 8, 16, 32, 64, 128],
            shots_per_sequence: 1000,
            confidence_level: 0.95,
        },
    };

    println!("Noise Characterization Configuration:");
    println!("  - ML Analysis: {}", noise_config.enable_ml_analysis);
    println!(
        "  - Temporal Tracking: {}",
        noise_config.enable_temporal_tracking
    );
    println!(
        "  - Spectral Analysis: {}",
        noise_config.enable_spectral_analysis
    );
    println!(
        "  - Correlation Analysis: {}",
        noise_config.enable_correlation_analysis
    );
    println!(
        "  - Predictive Modeling: {}",
        noise_config.enable_predictive_modeling
    );
    println!(
        "  - Noise Models: {} types",
        noise_config.noise_models.len()
    );
    println!(
        "  - Statistical Methods: {} methods\n",
        noise_config.statistical_methods.len()
    );

    // Create enhanced noise characterizer
    let characterizer = EnhancedNoiseCharacterizer::new(noise_config);
    println!("✓ Enhanced noise characterizer created\n");

    // Note: To run actual characterization, you would need a real quantum device:
    // let noise_result = characterizer.characterize_device(&device)?;
    // println!("Noise Characterization Results: {:?}", noise_result);

    // ========================================================================
    // Part 3: Key Features and Benefits
    // ========================================================================

    println!("\nPart 3: Key Features and Benefits\n");
    println!("----------------------------------\n");

    println!("Enhanced Benchmarking Features:");
    println!("  ✓ Quantum Volume measurement for overall capability assessment");
    println!("  ✓ Randomized Benchmarking for average gate fidelity");
    println!("  ✓ Cross-Entropy Benchmarking for quantum supremacy validation");
    println!("  ✓ Process and Gate Set Tomography for complete characterization");
    println!("  ✓ ML-driven performance prediction and degradation forecasting");
    println!("  ✓ Statistical significance testing with confidence intervals");
    println!("  ✓ Real-time monitoring with anomaly detection\n");

    println!("Enhanced Noise Characterization Features:");
    println!("  ✓ Multi-model noise characterization (T1, T2, depolarizing, etc.)");
    println!("  ✓ Temporal drift detection and long-term tracking");
    println!("  ✓ Spectral analysis for 1/f noise and frequency-domain effects");
    println!("  ✓ Multi-qubit correlation and crosstalk analysis");
    println!("  ✓ Bayesian and ML-based parameter estimation");
    println!("  ✓ Predictive modeling for maintenance planning");
    println!("  ✓ Real-time alerts for noise threshold violations\n");

    println!("SciRS2 Integration Benefits:");
    println!("  ✓ SIMD-accelerated statistical computations");
    println!("  ✓ Parallel execution of independent protocols");
    println!("  ✓ Memory-efficient buffer pooling");
    println!("  ✓ Advanced optimization algorithms");
    println!("  ✓ Robust numerical stability");
    println!("  ✓ Cross-platform performance optimization\n");

    // ========================================================================
    // Part 4: Typical Workflow
    // ========================================================================

    println!("\nPart 4: Typical Workflow\n");
    println!("------------------------\n");

    println!("Step 1: Initial Device Characterization");
    println!("  → Run comprehensive benchmarks on new device");
    println!("  → Establish baseline performance metrics");
    println!("  → Identify optimal operating parameters\n");

    println!("Step 2: Noise Model Construction");
    println!("  → Characterize all noise channels");
    println!("  → Build predictive noise models");
    println!("  → Establish error mitigation strategies\n");

    println!("Step 3: Ongoing Monitoring");
    println!("  → Real-time performance tracking");
    println!("  → Drift detection and calibration alerts");
    println!("  → Comparative analysis with historical data\n");

    println!("Step 4: Predictive Maintenance");
    println!("  → ML-based degradation forecasting");
    println!("  → Proactive recalibration scheduling");
    println!("  → Performance optimization recommendations\n");

    println!("=== Demo Complete ===\n");
    println!("Note: This demo shows configuration and setup.");
    println!("To run actual benchmarks and characterization, connect to a real quantum device.");
    println!("\nFor more information, see:");
    println!("  - Enhanced Benchmarking: src/scirs2_hardware_benchmarks_enhanced.rs");
    println!("  - Noise Characterization: src/scirs2_noise_characterization_enhanced.rs");
}