quantrs2-circuit 0.1.3

//! Enhanced Quantum Pulse Control with Advanced `SciRS2` Signal Processing
//!
//! This module provides state-of-the-art pulse-level control for quantum devices
//! with ML-based pulse optimization, real-time calibration, advanced waveform
//! synthesis, and comprehensive error mitigation powered by `SciRS2`.

pub mod config;
pub mod pulses;

#[cfg(test)]
mod tests;

// Re-export main types
pub use config::*;
pub use pulses::*;

use quantrs2_core::error::{QuantRS2Error, QuantRS2Result};
use scirs2_core::ndarray::Array1;
use scirs2_core::Complex64;
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, VecDeque};
use std::fmt;
use std::sync::Arc;

/// Enhanced pulse controller
pub struct EnhancedPulseController {
    config: EnhancedPulseConfig,
    signal_processor: SignalProcessor,
    pub ml_optimizer: Option<Arc<dyn PulseOptimizationModel>>,
    calibration_data: CalibrationData,
}

impl EnhancedPulseController {
    /// Create a new enhanced pulse controller
    #[must_use]
    pub fn new(config: EnhancedPulseConfig) -> Self {
        Self {
            config,
            signal_processor: SignalProcessor::new(),
            ml_optimizer: Some(Arc::new(DefaultPulseOptimizer::new())),
            calibration_data: CalibrationData::default(),
        }
    }
}

/// Signal processor for pulse waveforms
pub struct SignalProcessor {
    pub config: SignalProcessorConfig,
    buffer_manager: PulseSignalBufferManager,
    fft_engine: FFTEngine,
    filter_bank: FilterBank,
    adaptive_processor: AdaptiveSignalProcessor,
}

impl SignalProcessor {
    #[must_use]
    pub fn new() -> Self {
        Self {
            config: SignalProcessorConfig::default(),
            buffer_manager: PulseSignalBufferManager::new(),
            fft_engine: FFTEngine::new(),
            filter_bank: FilterBank::new(),
            adaptive_processor: AdaptiveSignalProcessor::new(),
        }
    }
}

impl Default for SignalProcessor {
    fn default() -> Self {
        Self::new()
    }
}

/// Signal processor configuration
#[derive(Debug, Clone)]
pub struct SignalProcessorConfig {
    pub window_size: usize,
    pub overlap: usize,
    pub enable_simd: bool,
    pub max_frequency: f64,
}

impl Default for SignalProcessorConfig {
    fn default() -> Self {
        Self {
            window_size: 1024,
            overlap: 512,
            enable_simd: true,
            max_frequency: 500e6,
        }
    }
}

/// Buffer manager for signal processing
struct PulseSignalBufferManager {
    complex_buffers: Vec<Vec<Complex64>>,
    real_buffers: Vec<Vec<f64>>,
    fft_workspace: Vec<Complex64>,
    filter_states: HashMap<String, FilterState>,
}

impl PulseSignalBufferManager {
    fn new() -> Self {
        Self {
            complex_buffers: Vec::new(),
            real_buffers: Vec::new(),
            fft_workspace: Vec::new(),
            filter_states: HashMap::new(),
        }
    }
}

/// Filter state for signal processing
pub struct FilterState {
    pub delay_line: VecDeque<f64>,
    pub coefficients: Vec<f64>,
    pub history: Vec<f64>,
}

impl FilterState {
    pub fn new(order: usize) -> Self {
        Self {
            delay_line: VecDeque::with_capacity(order),
            coefficients: Vec::new(),
            history: Vec::with_capacity(order),
        }
    }
}

/// FFT engine for spectral analysis
struct FFTEngine {
    fft_plans: HashMap<usize, FFTPlan>,
    buffer_pool: Vec<Vec<Complex64>>,
}

impl FFTEngine {
    fn new() -> Self {
        Self {
            fft_plans: HashMap::new(),
            buffer_pool: Vec::new(),
        }
    }
}

#[derive(Debug, Clone)]
struct FFTPlan {
    size: usize,
    direction: FFTDirection,
}

#[derive(Debug, Clone, Copy)]
enum FFTDirection {
    Forward,
    Inverse,
}

/// Filter bank for different filter types
struct FilterBank {
    butterworth_filters: HashMap<usize, ButterworthFilter>,
    chebyshev_filters: HashMap<usize, ChebyshevFilter>,
    fir_filters: HashMap<usize, FIRFilter>,
    adaptive_filters: Vec<AdaptiveFilter>,
}

impl FilterBank {
    fn new() -> Self {
        Self {
            butterworth_filters: HashMap::new(),
            chebyshev_filters: HashMap::new(),
            fir_filters: HashMap::new(),
            adaptive_filters: Vec::new(),
        }
    }
}

struct ButterworthFilter {
    order: usize,
    cutoff: f64,
}

struct ChebyshevFilter {
    order: usize,
    ripple: f64,
}

struct FIRFilter {
    taps: Vec<f64>,
}

struct AdaptiveFilter {
    weights: Vec<f64>,
    step_size: f64,
}

/// Adaptive signal processor
struct AdaptiveSignalProcessor {
    noise_estimator: NoiseEstimator,
    distortion_corrector: DistortionCorrector,
    interference_canceller: InterferenceCanceller,
    channel_equalizer: ChannelEqualizer,
}

impl AdaptiveSignalProcessor {
    fn new() -> Self {
        Self {
            noise_estimator: NoiseEstimator {
                noise_floor: -80.0,
                noise_profile: Array1::zeros(1024),
                estimation_window: 1024,
                update_rate: 0.01,
            },
            distortion_corrector: DistortionCorrector {
                correction_model: PredistortionModel::Linear,
                model_parameters: vec![1.0, 0.0],
                adaptation_enabled: true,
                correction_strength: 1.0,
            },
            interference_canceller: InterferenceCanceller {
                reference_signals: Vec::new(),
                cancellation_filters: Vec::new(),
                threshold: 0.1,
            },
            channel_equalizer: ChannelEqualizer {
                frequency_response: Array1::ones(1024),
                target_response: Array1::ones(1024),
                equalization_filter: vec![1.0],
                adaptation_rate: 0.01,
            },
        }
    }
}

struct NoiseEstimator {
    noise_floor: f64,
    noise_profile: Array1<f64>,
    estimation_window: usize,
    update_rate: f64,
}

struct DistortionCorrector {
    correction_model: PredistortionModel,
    model_parameters: Vec<f64>,
    adaptation_enabled: bool,
    correction_strength: f64,
}

struct InterferenceCanceller {
    reference_signals: Vec<Array1<Complex64>>,
    cancellation_filters: Vec<Vec<f64>>,
    threshold: f64,
}

struct ChannelEqualizer {
    frequency_response: Array1<f64>,
    target_response: Array1<f64>,
    equalization_filter: Vec<f64>,
    adaptation_rate: f64,
}

/// Predistortion models
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum PredistortionModel {
    Linear,
    Polynomial,
    MemoryPolynomial,
}

/// Calibration data
#[derive(Debug, Clone, Default)]
struct CalibrationData {
    qubit_frequencies: HashMap<usize, f64>,
    anharmonicities: HashMap<usize, f64>,
    coupling_strengths: HashMap<(usize, usize), f64>,
}

/// Pulse sequence
#[derive(Debug, Clone)]
pub struct PulseSequence {
    pub channels: Vec<PulseChannel>,
    pub duration: f64,
    pub metadata: PulseMetadata,
}

/// Pulse channel
#[derive(Debug, Clone)]
pub struct PulseChannel {
    pub channel_id: usize,
    pub waveform: Waveform,
    pub frequency: f64,
    pub phase: f64,
    pub frame_change: Option<f64>,
}

/// Waveform data
#[derive(Debug, Clone)]
pub struct Waveform {
    pub samples: Vec<Complex64>,
    pub sample_rate: f64,
}

/// Pulse metadata
#[derive(Debug, Clone)]
pub struct PulseMetadata {
    pub gate_name: String,
    pub target_qubits: Vec<usize>,
    pub fidelity_estimate: Option<f64>,
    pub optimization_history: Vec<OptimizationStep>,
}

/// Optimization step
#[derive(Debug, Clone)]
pub struct OptimizationStep {
    pub iteration: usize,
    pub cost: f64,
    pub parameters: Vec<f64>,
}

/// Gate analysis
#[derive(Debug, Clone)]
pub struct GateAnalysis {
    pub target_unitary: Vec<Vec<Complex64>>,
    pub qubit_indices: Vec<usize>,
}

/// Pulse optimization model trait
pub trait PulseOptimizationModel: Send + Sync {
    fn optimize(
        &self,
        pulse: &PulseSequence,
        target: &GateAnalysis,
        constraints: &PulseConstraints,
    ) -> QuantRS2Result<PulseSequence>;

    fn update(&mut self, feedback: &OptimizationFeedback);
}

/// Default pulse optimizer
struct DefaultPulseOptimizer {
    // ML model placeholder
}

impl DefaultPulseOptimizer {
    const fn new() -> Self {
        Self {}
    }
}

impl PulseOptimizationModel for DefaultPulseOptimizer {
    fn optimize(
        &self,
        pulse: &PulseSequence,
        _target: &GateAnalysis,
        _constraints: &PulseConstraints,
    ) -> QuantRS2Result<PulseSequence> {
        Ok(pulse.clone())
    }

    fn update(&mut self, _feedback: &OptimizationFeedback) {}
}

/// Optimization feedback
#[derive(Debug, Clone)]
pub struct OptimizationFeedback {
    pub measured_fidelity: f64,
    pub execution_time: f64,
    pub success: bool,
}

/// Mitigation strategies
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum MitigationStrategy {
    PhaseCorrection,
    AmplitudeStabilization,
    DriftCompensation,
    LeakageReduction,
    CrosstalkCancellation,
}

impl fmt::Display for PulseSequence {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        writeln!(f, "Pulse Sequence:")?;
        writeln!(f, "  Duration: {:.2} ns", self.duration * 1e9)?;
        writeln!(f, "  Channels: {}", self.channels.len())?;
        for channel in &self.channels {
            writeln!(
                f,
                "    Channel {}: {} samples @ {:.1} GHz",
                channel.channel_id,
                channel.waveform.samples.len(),
                channel.frequency / 1e9
            )?;
        }
        writeln!(f, "  Gate: {}", self.metadata.gate_name)?;
        if let Some(fidelity) = self.metadata.fidelity_estimate {
            writeln!(f, "  Estimated fidelity: {fidelity:.4}")?;
        }
        Ok(())
    }
}