quantrs2-anneal 0.1.3

//! Auto-generated module
//!
//! 🤖 Generated with [SplitRS](https://github.com/cool-japan/splitrs)

use crate::ising::{IsingError, IsingModel};
use std::collections::{HashMap, HashSet, VecDeque};
use std::time::{Duration, Instant};

use super::types::{
    Chain, CompilationConstraint, CompilationTarget, CompilerConfig, ControlPrecision,
    CouplingRange, CouplingUtilization, EmbeddingAlgorithm, EmbeddingInfo, EmbeddingQualityMetrics,
    HardwareCharacteristics, HardwareCompilationError, HardwareCompiler, HardwareConstraint,
    HardwareType, MLPerformanceModel, OptimizationObjective, ParallelizationStrategy,
    PerformanceData, PerformanceMetrics, PerformancePrediction, QubitAllocationStrategy,
    QubitNoise, ResourceAllocation, TemperatureProfile,
};

/// Result type for hardware compilation operations
pub type HardwareCompilationResult<T> = Result<T, HardwareCompilationError>;
/// Performance model trait for predicting hardware performance
pub trait PerformanceModel: Send + Sync {
    /// Predict performance for a given compilation
    fn predict_performance(
        &self,
        problem: &IsingModel,
        embedding: &EmbeddingInfo,
        hardware: &HardwareCharacteristics,
    ) -> HardwareCompilationResult<PerformancePrediction>;
    /// Update model with new performance data
    fn update_model(
        &mut self,
        problem: &IsingModel,
        embedding: &EmbeddingInfo,
        actual_performance: &PerformanceData,
    ) -> HardwareCompilationResult<()>;
    /// Get model confidence for predictions
    fn get_confidence(&self) -> f64;
}
/// Utility functions for hardware compilation
/// Create a D-Wave Chimera hardware target
pub fn create_chimera_target(
    unit_cells: (usize, usize),
    cell_size: usize,
) -> HardwareCompilationResult<CompilationTarget> {
    let num_qubits = unit_cells.0 * unit_cells.1 * cell_size * 2;
    let connectivity = create_chimera_connectivity(unit_cells, cell_size);
    let characteristics = HardwareCharacteristics {
        num_qubits,
        connectivity,
        qubit_noise: vec![
            QubitNoise {
                t1: 80.0,
                t2: 40.0,
                gate_fidelity: 0.99,
                bias_noise: 0.01,
                readout_fidelity: 0.95,
            };
            num_qubits
        ],
        coupling_ranges: vec![
            vec![
                CouplingRange {
                    min_strength: -1.0,
                    max_strength: 1.0,
                    fidelity: 0.98,
                    crosstalk: 0.02,
                };
                num_qubits
            ];
            num_qubits
        ],
        annealing_time_range: (1.0, 2000.0),
        temperature_characteristics: TemperatureProfile {
            initial_temp: 1.0,
            final_temp: 0.01,
            temp_precision: 0.001,
            cooling_rate_limits: (0.1, 10.0),
        },
        control_precision: ControlPrecision {
            bias_precision: 16,
            coupling_precision: 16,
            timing_precision: 1e-9,
        },
        constraints: vec![
            HardwareConstraint::MaxActiveQubits(num_qubits),
            HardwareConstraint::MaxCouplingStrength(1.0),
            HardwareConstraint::MinAnnealingTime(1.0),
            HardwareConstraint::MaxAnnealingTime(2000.0),
        ],
        performance_metrics: PerformanceMetrics {
            success_probability: 0.85,
            solution_quality: 0.90,
            time_to_solution: vec![100.0, 200.0, 500.0],
            energy_resolution: 0.001,
            reproducibility: 0.95,
        },
    };
    Ok(CompilationTarget {
        hardware_type: HardwareType::DWaveChimera {
            unit_cells,
            cell_size,
        },
        characteristics,
        objectives: vec![
            OptimizationObjective::MaximizeQuality { weight: 0.4 },
            OptimizationObjective::MinimizeTime { weight: 0.3 },
            OptimizationObjective::MaximizeSuccessProbability { weight: 0.3 },
        ],
        constraints: vec![
            CompilationConstraint::MaxCompilationTime(Duration::from_secs(300)),
            CompilationConstraint::MinQualityThreshold(0.8),
        ],
        resource_allocation: ResourceAllocation {
            qubit_allocation: QubitAllocationStrategy::MaximizeConnectivity,
            coupling_utilization: CouplingUtilization::Balanced,
            parallelization: ParallelizationStrategy::ParallelEmbedding,
        },
    })
}
/// Create Chimera topology connectivity matrix
fn create_chimera_connectivity(unit_cells: (usize, usize), cell_size: usize) -> Vec<Vec<bool>> {
    let num_qubits = unit_cells.0 * unit_cells.1 * cell_size * 2;
    let mut connectivity = vec![vec![false; num_qubits]; num_qubits];
    for i in 0..num_qubits {
        for j in 0..num_qubits {
            if i != j {
                let cell_i = i / (cell_size * 2);
                let cell_j = j / (cell_size * 2);
                let within_cell_i = i % (cell_size * 2);
                let within_cell_j = j % (cell_size * 2);
                if cell_i == cell_j {
                    if (within_cell_i < cell_size && within_cell_j >= cell_size)
                        || (within_cell_i >= cell_size && within_cell_j < cell_size)
                    {
                        connectivity[i][j] = true;
                    }
                }
                if (cell_i as i32 - cell_j as i32).abs() == 1 && within_cell_i == within_cell_j {
                    connectivity[i][j] = true;
                }
            }
        }
    }
    connectivity
}
/// Create an ideal hardware target for testing
#[must_use]
pub fn create_ideal_target(num_qubits: usize) -> CompilationTarget {
    let connectivity = vec![vec![true; num_qubits]; num_qubits];
    let characteristics = HardwareCharacteristics {
        num_qubits,
        connectivity,
        qubit_noise: vec![
            QubitNoise {
                t1: f64::INFINITY,
                t2: f64::INFINITY,
                gate_fidelity: 1.0,
                bias_noise: 0.0,
                readout_fidelity: 1.0,
            };
            num_qubits
        ],
        coupling_ranges: vec![
            vec![
                CouplingRange {
                    min_strength: -f64::INFINITY,
                    max_strength: f64::INFINITY,
                    fidelity: 1.0,
                    crosstalk: 0.0,
                };
                num_qubits
            ];
            num_qubits
        ],
        annealing_time_range: (0.0, f64::INFINITY),
        temperature_characteristics: TemperatureProfile {
            initial_temp: 1.0,
            final_temp: 0.0,
            temp_precision: 0.0,
            cooling_rate_limits: (0.0, f64::INFINITY),
        },
        control_precision: ControlPrecision {
            bias_precision: 64,
            coupling_precision: 64,
            timing_precision: 1e-15,
        },
        constraints: Vec::new(),
        performance_metrics: PerformanceMetrics {
            success_probability: 1.0,
            solution_quality: 1.0,
            time_to_solution: vec![1.0],
            energy_resolution: 0.0,
            reproducibility: 1.0,
        },
    };
    CompilationTarget {
        hardware_type: HardwareType::Ideal { num_qubits },
        characteristics,
        objectives: vec![OptimizationObjective::MaximizeQuality { weight: 1.0 }],
        constraints: Vec::new(),
        resource_allocation: ResourceAllocation {
            qubit_allocation: QubitAllocationStrategy::MinimizeCount,
            coupling_utilization: CouplingUtilization::Conservative,
            parallelization: ParallelizationStrategy::None,
        },
    }
}
#[cfg(test)]
mod tests {
    use super::*;
    use crate::ising::IsingModel;
    #[test]
    fn test_hardware_compiler_creation() {
        let target = create_ideal_target(10);
        let config = CompilerConfig::default();
        let _compiler = HardwareCompiler::new(target, config);
    }
    #[test]
    fn test_chimera_target_creation() {
        let target = create_chimera_target((2, 2), 4).expect("should create Chimera target");
        assert_eq!(target.characteristics.num_qubits, 32);
        assert!(matches!(
            target.hardware_type,
            HardwareType::DWaveChimera { .. }
        ));
    }
    #[test]
    fn test_problem_analysis() {
        let target = create_ideal_target(5);
        let config = CompilerConfig::default();
        let compiler = HardwareCompiler::new(target, config);
        let mut problem = IsingModel::new(5);
        problem.set_bias(0, 1.0).expect("should set bias");
        problem
            .set_coupling(0, 1, 0.5)
            .expect("should set coupling");
        problem
            .set_coupling(1, 2, -0.3)
            .expect("should set coupling");
        let analysis = compiler
            .analyze_problem(&problem)
            .expect("should analyze problem");
        assert_eq!(analysis.num_variables, 5);
        assert!(analysis.connectivity_density > 0.0);
        assert!(analysis.connectivity_density < 1.0);
    }
    #[test]
    fn test_compilation_pipeline() {
        let target = create_ideal_target(4);
        let config = CompilerConfig::default();
        let mut compiler = HardwareCompiler::new(target, config);
        let mut problem = IsingModel::new(4);
        problem.set_bias(0, 1.0).expect("should set bias");
        problem.set_bias(1, -0.5).expect("should set bias");
        problem
            .set_coupling(0, 1, 0.3)
            .expect("should set coupling");
        problem
            .set_coupling(1, 2, -0.2)
            .expect("should set coupling");
        let result = compiler.compile(&problem).expect("should compile problem");
        assert_eq!(result.compiled_ising.num_qubits, 4);
        assert!(result.performance_prediction.success_probability > 0.0);
        assert!(result.metadata.compilation_time > Duration::from_nanos(0));
    }
    #[test]
    fn test_embedding_quality_metrics() {
        let embedding_info = EmbeddingInfo {
            variable_mapping: HashMap::from([(0, vec![0]), (1, vec![1, 2]), (2, vec![3])]),
            chains: vec![
                Chain {
                    logical_variable: 0,
                    physical_qubits: vec![0],
                    chain_strength: 1.0,
                    connectivity: 1.0,
                },
                Chain {
                    logical_variable: 1,
                    physical_qubits: vec![1, 2],
                    chain_strength: 2.0,
                    connectivity: 0.8,
                },
                Chain {
                    logical_variable: 2,
                    physical_qubits: vec![3],
                    chain_strength: 1.0,
                    connectivity: 1.0,
                },
            ],
            quality_metrics: EmbeddingQualityMetrics {
                avg_chain_length: 1.33,
                max_chain_length: 2,
                efficiency: 0.75,
                chain_balance: 0.9,
                connectivity_utilization: 0.6,
            },
            algorithm_used: EmbeddingAlgorithm::MinorMiner,
        };
        assert_eq!(embedding_info.chains.len(), 3);
        assert_eq!(embedding_info.quality_metrics.max_chain_length, 2);
        assert!(embedding_info.quality_metrics.avg_chain_length > 1.0);
    }
    #[test]
    fn test_performance_prediction() {
        let mut model = MLPerformanceModel::new();
        let problem = IsingModel::new(5);
        let embedding_info = EmbeddingInfo {
            variable_mapping: HashMap::new(),
            chains: Vec::new(),
            quality_metrics: EmbeddingQualityMetrics {
                avg_chain_length: 1.0,
                max_chain_length: 1,
                efficiency: 1.0,
                chain_balance: 1.0,
                connectivity_utilization: 0.5,
            },
            algorithm_used: EmbeddingAlgorithm::MinorMiner,
        };
        let hardware = HardwareCharacteristics {
            num_qubits: 10,
            connectivity: vec![vec![false; 10]; 10],
            qubit_noise: Vec::new(),
            coupling_ranges: Vec::new(),
            annealing_time_range: (1.0, 1000.0),
            temperature_characteristics: TemperatureProfile {
                initial_temp: 1.0,
                final_temp: 0.01,
                temp_precision: 0.001,
                cooling_rate_limits: (0.1, 10.0),
            },
            control_precision: ControlPrecision {
                bias_precision: 16,
                coupling_precision: 16,
                timing_precision: 1e-9,
            },
            constraints: Vec::new(),
            performance_metrics: PerformanceMetrics {
                success_probability: 0.8,
                solution_quality: 0.9,
                time_to_solution: vec![1000.0],
                energy_resolution: 0.001,
                reproducibility: 0.95,
            },
        };
        let prediction = model
            .predict_performance(&problem, &embedding_info, &hardware)
            .expect("should predict performance");
        assert!(prediction.success_probability > 0.0 && prediction.success_probability <= 1.0);
        assert!(prediction.solution_quality > 0.0 && prediction.solution_quality <= 1.0);
        assert!(prediction.time_to_solution > 0.0);
    }
}