#[cfg(test)]
mod tests {
use crate::advanced_ml_error_mitigation::*;
use crate::circuit_interfaces::{InterfaceCircuit, InterfaceGate, InterfaceGateType};
use crate::fault_tolerant_synthesis::*;
use crate::fpga_acceleration::{FPGAConfig, FPGAQuantumSimulator};
use crate::hardware_aware_qml::*;
use crate::quantum_chemistry::*;
use crate::quantum_reservoir_computing::{QuantumReservoirComputer, QuantumReservoirConfig};
use crate::telemetry::{TelemetryCollector, TelemetryConfig, TelemetryMetric};
use crate::visualization_hooks::{VisualizationConfig, VisualizationManager};
use scirs2_core::ndarray::{Array1, Array2, Array4};
use scirs2_core::Complex64;
use std::collections::HashMap;
type TestResult = Result<(), Box<dyn std::error::Error>>;
#[derive(Clone)]
struct SimpleMolecule {
atoms: Vec<Atom>,
}
#[derive(Clone)]
struct Atom {
element: String,
position: [f64; 3],
charge: f64,
}
struct QuantumChemistryConfig {
basis_set: String,
num_orbitals: usize,
}
impl Default for QuantumChemistryConfig {
fn default() -> Self {
Self {
basis_set: "sto-3g".to_string(),
num_orbitals: 4,
}
}
}
mod advanced_ml_error_mitigation_tests {
use super::*;
#[test]
fn test_advanced_ml_mitigator_creation() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mitigator = AdvancedMLErrorMitigator::new(config);
assert!(mitigator.is_ok());
Ok(())
}
#[test]
fn test_deep_mitigation_network_creation() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mitigator = AdvancedMLErrorMitigator::new(config)?;
let network = mitigator.create_deep_model()?;
assert_eq!(network.layers, vec![18, 128, 64, 32, 1]);
assert_eq!(network.weights.len(), 4);
assert_eq!(network.biases.len(), 4);
Ok(())
}
#[test]
fn test_rl_agent_creation() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mitigator = AdvancedMLErrorMitigator::new(config)?;
let agent = mitigator.create_rl_agent()?;
assert_eq!(agent.learning_rate, 0.001);
assert_eq!(agent.discount_factor, 0.95);
Ok(())
}
#[test]
fn test_feature_extraction() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mitigator = AdvancedMLErrorMitigator::new(config)?;
let mut circuit = InterfaceCircuit::new(2, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
let measurements = Array1::from_vec(vec![0.5, 0.5, 0.5]);
let features = mitigator.extract_features(&circuit, &measurements)?;
assert!(features.len() > 10);
Ok(())
}
#[test]
fn test_mitigation_strategy_selection() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mut mitigator = AdvancedMLErrorMitigator::new(config)?;
let features = Array1::from_vec(vec![1.0, 2.0, 3.0, 4.0, 5.0]);
let strategy = mitigator.select_mitigation_strategy(&features)?;
assert!(matches!(
strategy,
MitigationAction::ZeroNoiseExtrapolation
| MitigationAction::VirtualDistillation
| MitigationAction::MachineLearningPrediction
| MitigationAction::EnsembleMitigation
));
Ok(())
}
#[test]
fn test_activation_functions() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mitigator = AdvancedMLErrorMitigator::new(config)?;
assert_eq!(
mitigator.apply_activation(-1.0, ActivationFunction::ReLU),
0.0
);
assert_eq!(
mitigator.apply_activation(1.0, ActivationFunction::ReLU),
1.0
);
let sigmoid_result = mitigator.apply_activation(0.0, ActivationFunction::Sigmoid);
assert!((sigmoid_result - 0.5).abs() < 1e-10);
let tanh_result = mitigator.apply_activation(0.0, ActivationFunction::Tanh);
assert!(tanh_result.abs() < 1e-10);
Ok(())
}
#[test]
fn test_forward_pass() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mitigator = AdvancedMLErrorMitigator::new(config)?;
let model = mitigator.create_deep_model()?;
let input = Array1::from_vec(vec![0.1, 0.2, 0.3, 0.4]);
let mut padded_input = Array1::zeros(18);
for i in 0..input.len().min(18) {
padded_input[i] = input[i];
}
let output = mitigator.forward_pass(&model, &padded_input)?;
assert_eq!(output.len(), 1);
Ok(())
}
#[test]
fn test_traditional_mitigation_methods() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mitigator = AdvancedMLErrorMitigator::new(config)?;
let measurements = Array1::from_vec(vec![0.48, 0.52, 0.49]);
let circuit = InterfaceCircuit::new(2, 0);
let zne_result = mitigator.apply_traditional_mitigation(
MitigationAction::ZeroNoiseExtrapolation,
&measurements,
&circuit,
);
assert!(zne_result.is_ok());
let vd_result = mitigator.apply_traditional_mitigation(
MitigationAction::VirtualDistillation,
&measurements,
&circuit,
);
assert!(vd_result.is_ok());
Ok(())
}
#[test]
fn test_error_mitigation_pipeline() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mut mitigator = AdvancedMLErrorMitigator::new(config)?;
let measurements = Array1::from_vec(vec![0.48, 0.52, 0.47, 0.53, 0.49]);
let mut circuit = InterfaceCircuit::new(4, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RZ(0.5), vec![2]));
let result = mitigator.mitigate_errors(&measurements, &circuit)?;
assert!(result.confidence >= 0.0 && result.confidence <= 1.0);
assert!(result.error_reduction >= 0.0 && result.error_reduction <= 1.0);
assert!(!result.model_used.is_empty());
Ok(())
}
}
mod fault_tolerant_synthesis_tests {
use super::*;
#[test]
fn test_fault_tolerant_synthesizer_creation() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config);
assert!(synthesizer.is_ok());
Ok(())
}
#[test]
fn test_surface_code_layout_creation() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let layout = synthesizer.create_surface_code_layout(3)?;
assert_eq!(layout.data_qubits.nrows(), 5);
assert_eq!(layout.data_qubits.ncols(), 5);
Ok(())
}
#[test]
fn test_stabilizer_generation() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let stabilizers = synthesizer.generate_surface_code_stabilizers(3)?;
assert!(!stabilizers.is_empty());
for stabilizer in &stabilizers {
assert_eq!(stabilizer.len(), 2 * 9);
}
Ok(())
}
#[test]
fn test_logical_pauli_synthesis() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let logical_x =
synthesizer.synthesize_logical_pauli(LogicalGateType::LogicalX, &[0])?;
assert_eq!(logical_x.gate_type, LogicalGateType::LogicalX);
assert_eq!(logical_x.logical_qubits, vec![0]);
assert!(logical_x.resources.physical_qubits > 0);
Ok(())
}
#[test]
fn test_logical_hadamard_synthesis() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let logical_h = synthesizer.synthesize_logical_hadamard(&[0])?;
assert_eq!(logical_h.gate_type, LogicalGateType::LogicalH);
assert!(logical_h.resources.physical_gates > 0);
Ok(())
}
#[test]
fn test_logical_cnot_synthesis() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let logical_cnot = synthesizer.synthesize_logical_cnot(&[0, 1])?;
assert_eq!(logical_cnot.gate_type, LogicalGateType::LogicalCNOT);
assert_eq!(logical_cnot.logical_qubits.len(), 2);
Ok(())
}
#[test]
fn test_logical_t_synthesis_with_magic_states() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let logical_t = synthesizer.synthesize_logical_t_with_magic_states_public(&[0])?;
assert_eq!(logical_t.gate_type, LogicalGateType::LogicalT);
assert!(logical_t.resources.magic_states > 0);
assert!(logical_t.resources.measurement_rounds > 0);
Ok(())
}
#[test]
fn test_magic_state_distillation_circuits() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let t_circuit = synthesizer.create_t_state_distillation_circuit_public()?;
assert_eq!(t_circuit.num_qubits, 15);
assert!(!t_circuit.gates.is_empty());
let ccz_circuit = synthesizer.create_ccz_state_distillation_circuit_public()?;
assert_eq!(ccz_circuit.num_qubits, 25);
Ok(())
}
#[test]
fn test_fault_tolerant_circuit_synthesis() -> TestResult {
let config = FaultTolerantConfig::default();
let mut synthesizer = FaultTolerantSynthesizer::new(config)?;
let mut logical_circuit = InterfaceCircuit::new(2, 0);
logical_circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
logical_circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
let result = synthesizer.synthesize_logical_circuit(&logical_circuit)?;
assert!(result.fault_tolerant_circuit.gates.len() > logical_circuit.gates.len());
assert!(result.overhead_factor > 1.0);
assert!(result.logical_error_rate < 1.0);
Ok(())
}
#[test]
fn test_resource_requirements_calculation() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let mut total = ResourceRequirements::default();
let gate_resources = ResourceRequirements {
physical_qubits: 10,
physical_gates: 5,
measurement_rounds: 1,
magic_states: 2,
time_steps: 3,
ancilla_qubits: 4,
};
synthesizer.update_resources_public(&mut total, &gate_resources);
assert_eq!(total.physical_qubits, 10);
assert_eq!(total.physical_gates, 5);
assert_eq!(total.magic_states, 2);
Ok(())
}
#[test]
fn test_optimal_distance_calculation() -> TestResult {
let config = FaultTolerantConfig {
target_logical_error_rate: 1e-10,
physical_error_rate: 1e-3,
..FaultTolerantConfig::default()
};
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let circuit = InterfaceCircuit::new(2, 0);
let distance = synthesizer.calculate_optimal_distance_public(&circuit)?;
assert!(distance >= 3);
Ok(())
}
#[test]
fn test_logical_gate_error_rate_calculation() -> TestResult {
let config = FaultTolerantConfig::default();
let synthesizer = FaultTolerantSynthesizer::new(config)?;
let x_error_value =
synthesizer.calculate_logical_gate_error_rate_public(LogicalGateType::LogicalX)?;
assert!(x_error_value > 0.0);
let t_error_value =
synthesizer.calculate_logical_gate_error_rate_public(LogicalGateType::LogicalT)?;
assert!(t_error_value > x_error_value);
Ok(())
}
}
mod quantum_chemistry_tests {
use super::*;
#[test]
fn test_quantum_chemistry_simulator_creation() -> TestResult {
let config = ElectronicStructureConfig::default();
let simulator = QuantumChemistrySimulator::new(config);
assert!(simulator.is_ok());
Ok(())
}
#[test]
fn test_h2_molecule_creation() -> TestResult {
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
assert_eq!(h2.atomic_numbers, vec![1, 1]);
assert_eq!(h2.charge, 0);
assert_eq!(h2.multiplicity, 1);
assert_eq!(h2.basis_set, "STO-3G");
Ok(())
}
#[test]
fn test_molecule_setting() -> TestResult {
let config = ElectronicStructureConfig::default();
let mut simulator = QuantumChemistrySimulator::new(config)?;
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
let result = simulator.set_molecule(h2);
assert!(result.is_ok());
Ok(())
}
#[test]
fn test_molecular_hamiltonian_construction() -> TestResult {
let config = ElectronicStructureConfig::default();
let mut simulator = QuantumChemistrySimulator::new(config)?;
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
simulator.set_molecule(h2)?;
let molecule_result = simulator.get_molecule();
assert!(molecule_result.is_some());
Ok(())
}
#[test]
fn test_one_electron_integrals() -> TestResult {
let config = ElectronicStructureConfig::default();
let simulator = QuantumChemistrySimulator::new(config)?;
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
let integrals = simulator.compute_one_electron_integrals_public(&h2, 2)?;
assert_eq!(integrals.shape(), &[2, 2]);
assert!(integrals[[0, 0]] != 0.0);
Ok(())
}
#[test]
fn test_two_electron_integrals() -> TestResult {
let config = ElectronicStructureConfig::default();
let simulator = QuantumChemistrySimulator::new(config)?;
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
let integrals = simulator.compute_two_electron_integrals_public(&h2, 2)?;
assert_eq!(integrals.shape(), &[2, 2, 2, 2]);
Ok(())
}
#[test]
fn test_nuclear_repulsion() -> TestResult {
let config = ElectronicStructureConfig::default();
let simulator = QuantumChemistrySimulator::new(config)?;
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
let nuclear_repulsion = simulator.compute_nuclear_repulsion_public(&h2)?;
assert!(nuclear_repulsion > 0.0);
Ok(())
}
#[test]
fn test_fermionic_hamiltonian_creation() -> TestResult {
let config = ElectronicStructureConfig::default();
let simulator = QuantumChemistrySimulator::new(config)?;
let one_electron = Array2::from_shape_vec((2, 2), vec![-1.0, -0.1, -0.1, -1.0])
.expect("2x2 matrix requires 4 elements");
let two_electron = Array4::zeros((2, 2, 2, 2));
let fermionic_ham =
simulator.create_fermionic_hamiltonian_public(&one_electron, &two_electron, 2)?;
assert_eq!(fermionic_ham.num_modes, 4);
assert!(!fermionic_ham.terms.is_empty());
Ok(())
}
#[test]
fn test_fermion_mapper() -> TestResult {
let mapper = FermionMapper::new(FermionMapping::JordanWigner, 4);
assert_eq!(*mapper.get_method(), FermionMapping::JordanWigner);
assert_eq!(mapper.get_num_spin_orbitals(), 4);
Ok(())
}
#[test]
fn test_vqe_optimizer() -> TestResult {
let mut optimizer = VQEOptimizer::new(ChemistryOptimizer::GradientDescent);
optimizer.initialize_parameters_public(10);
assert_eq!(optimizer.get_parameters().len(), 10);
assert_eq!(optimizer.get_bounds().len(), 10);
assert_eq!(*optimizer.get_method(), ChemistryOptimizer::GradientDescent);
Ok(())
}
#[test]
fn test_ansatz_parameter_counting() -> TestResult {
let config = ElectronicStructureConfig::default();
let simulator = QuantumChemistrySimulator::new(config)?;
let mut circuit = InterfaceCircuit::new(4, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RY(0.0), vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RZ(0.0), vec![1]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
let param_count = simulator.get_ansatz_parameter_count_public(&circuit);
assert_eq!(param_count, 2);
Ok(())
}
#[test]
fn test_density_matrix_construction() -> TestResult {
let config = ElectronicStructureConfig::default();
let simulator = QuantumChemistrySimulator::new(config)?;
let orbitals = Array2::eye(4);
let density = simulator.build_density_matrix_public(&orbitals, 2)?;
assert_eq!(density.shape(), &[4, 4]);
Ok(())
}
#[test]
fn test_pauli_operators_application() -> TestResult {
let config = ElectronicStructureConfig::default();
let simulator = QuantumChemistrySimulator::new(config)?;
let mut state = Array1::from_vec(vec![
Complex64::new(1.0, 0.0),
Complex64::new(0.0, 0.0),
Complex64::new(0.0, 0.0),
Complex64::new(0.0, 0.0),
]);
simulator.apply_pauli_x_public(&mut state, 0)?;
assert_eq!(state[0], Complex64::new(0.0, 0.0));
assert_eq!(state[1], Complex64::new(1.0, 0.0));
let mut state2 = Array1::from_vec(vec![
Complex64::new(0.0, 0.0),
Complex64::new(1.0, 0.0),
Complex64::new(0.0, 0.0),
Complex64::new(0.0, 0.0),
]);
simulator.apply_pauli_z_public(&mut state2, 0)?;
assert_eq!(state2[1], Complex64::new(-1.0, 0.0));
Ok(())
}
}
mod hardware_aware_qml_tests {
use super::*;
#[test]
fn test_hardware_aware_optimizer_creation() -> TestResult {
let config = HardwareAwareConfig::default();
let optimizer = HardwareAwareQMLOptimizer::new(config);
assert!(optimizer.is_ok());
Ok(())
}
#[test]
fn test_architecture_specific_metrics_initialization() -> TestResult {
let ibm_config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::IBMQuantum,
..Default::default()
};
let ibm_optimizer = HardwareAwareQMLOptimizer::new(ibm_config);
assert!(ibm_optimizer.is_ok());
let google_config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::GoogleQuantumAI,
..Default::default()
};
let google_optimizer = HardwareAwareQMLOptimizer::new(google_config);
assert!(google_optimizer.is_ok());
let ionq_config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::IonQ,
..Default::default()
};
let ionq_optimizer = HardwareAwareQMLOptimizer::new(ionq_config);
assert!(ionq_optimizer.is_ok());
Ok(())
}
#[test]
fn test_circuit_analysis() -> TestResult {
let config = HardwareAwareConfig::default();
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
let mut circuit = InterfaceCircuit::new(3, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RY(0.5), vec![2]));
let analysis = optimizer.analyze_circuit_public(&circuit)?;
assert_eq!(analysis.two_qubit_gates.len(), 1);
assert_eq!(analysis.parameter_count, 1);
assert!(analysis.gate_counts.contains_key("Hadamard"));
assert!(analysis.gate_counts.contains_key("CNOT"));
Ok(())
}
#[test]
fn test_qubit_mapping_optimization() -> TestResult {
let config = HardwareAwareConfig::default();
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
let circuit = InterfaceCircuit::new(4, 0);
let analysis = optimizer.analyze_circuit_public(&circuit)?;
let mapping = optimizer.optimize_qubit_mapping_public(&circuit, &analysis)?;
assert_eq!(mapping.len(), 4);
for i in 0..4 {
assert!(mapping.contains_key(&i));
}
Ok(())
}
#[test]
fn test_gate_executability_check() -> TestResult {
let config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::IBMQuantum,
..Default::default()
};
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
assert!(optimizer.is_gate_directly_executable_public(&InterfaceGateType::CNOT, &[0, 1]));
assert!(optimizer.is_gate_directly_executable_public(&InterfaceGateType::RZ(0.5), &[0]));
assert!(optimizer.is_gate_directly_executable_public(&InterfaceGateType::PauliX, &[0]));
let google_config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::GoogleQuantumAI,
..Default::default()
};
let google_optimizer = HardwareAwareQMLOptimizer::new(google_config)?;
assert!(google_optimizer
.is_gate_directly_executable_public(&InterfaceGateType::CZ, &[0, 1]));
assert!(google_optimizer
.is_gate_directly_executable_public(&InterfaceGateType::RZ(0.5), &[0]));
Ok(())
}
#[test]
fn test_gate_decomposition() -> TestResult {
let config = HardwareAwareConfig::default();
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
let decomposed = optimizer
.decompose_or_route_gate_public(&InterfaceGateType::Toffoli, &[0, 1, 2])?;
assert!(decomposed.len() > 1);
Ok(())
}
#[test]
fn test_hardware_specific_optimizations() -> TestResult {
let config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::IBMQuantum,
..Default::default()
};
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
let mut circuit = InterfaceCircuit::new(2, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RZ(0.1), vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RZ(0.2), vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RZ(0.3), vec![0]));
let original_gates = circuit.gates.len();
optimizer.apply_ibm_optimizations_public(&mut circuit)?;
assert!(circuit.gates.len() <= original_gates);
Ok(())
}
#[test]
fn test_gate_cancellation() -> TestResult {
let config = HardwareAwareConfig::default();
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
let gate1 = InterfaceGate::new(InterfaceGateType::PauliX, vec![0]);
let gate2 = InterfaceGate::new(InterfaceGateType::PauliX, vec![0]);
assert!(optimizer.gates_cancel_public(&gate1, &gate2));
let gate3 = InterfaceGate::new(InterfaceGateType::PauliY, vec![0]);
assert!(!optimizer.gates_cancel_public(&gate1, &gate3));
let gate4 = InterfaceGate::new(InterfaceGateType::PauliX, vec![1]);
assert!(!optimizer.gates_cancel_public(&gate1, &gate4));
Ok(())
}
#[test]
fn test_error_rate_estimation() -> TestResult {
let config = HardwareAwareConfig::default();
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
let mut circuit = InterfaceCircuit::new(2, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RZ(0.5), vec![0]));
let error_rate = optimizer.estimate_error_rate_public(&circuit)?;
assert!(error_rate > 0.0);
Ok(())
}
#[test]
fn test_circuit_optimization_pipeline() -> TestResult {
let config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::IBMQuantum,
enable_noise_aware_optimization: true,
enable_connectivity_optimization: true,
..Default::default()
};
let mut optimizer = HardwareAwareQMLOptimizer::new(config)?;
let mut circuit = InterfaceCircuit::new(3, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
circuit.add_gate(InterfaceGate::new(
InterfaceGateType::Toffoli,
vec![0, 1, 2],
));
let result = optimizer.optimize_qml_circuit(&circuit, None)?;
assert!(result.compilation_time_ms > 0);
assert!(result.expected_error_rate >= 0.0);
assert!(!result.qubit_mapping.is_empty());
Ok(())
}
#[test]
fn test_hardware_efficient_ansatz_generation() -> TestResult {
let config = HardwareAwareConfig {
enable_hardware_efficient_ansatz: true,
target_architecture: HardwareArchitecture::IBMQuantum,
..Default::default()
};
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
let ansatz = optimizer.generate_hardware_efficient_ansatz(4, 3, 0.8)?;
assert_eq!(ansatz.num_qubits, 4);
assert!(!ansatz.gates.is_empty());
Ok(())
}
#[test]
fn test_cross_device_compatibility() -> TestResult {
let config = HardwareAwareConfig::default();
let optimizer = HardwareAwareQMLOptimizer::new(config)?;
let compatibility = optimizer.get_cross_device_compatibility(
HardwareArchitecture::IBMQuantum,
HardwareArchitecture::GoogleQuantumAI,
);
assert!((0.0..=1.0).contains(&compatibility));
let self_compatibility = optimizer.get_cross_device_compatibility(
HardwareArchitecture::IBMQuantum,
HardwareArchitecture::IBMQuantum,
);
assert!(self_compatibility >= compatibility);
Ok(())
}
#[test]
fn test_performance_monitoring() -> TestResult {
let config = HardwareAwareConfig {
enable_performance_monitoring: true,
..Default::default()
};
let mut optimizer = HardwareAwareQMLOptimizer::new(config)?;
optimizer.start_performance_monitoring_public()?;
assert!(!optimizer.get_performance_monitor().timestamps.is_empty());
Ok(())
}
#[test]
fn test_adaptation_trigger_checking() -> TestResult {
let config = HardwareAwareConfig::default();
let _optimizer = HardwareAwareQMLOptimizer::new(config)?;
let performance = crate::hardware_aware_qml::PerformanceMetrics {
avg_execution_time: std::time::Duration::from_secs(15),
error_rate: 0.2,
success_rate: 0.8,
cost_per_execution: 0.1,
hardware_utilization: 0.75,
};
let error_trigger = AdaptationTrigger::ErrorRateThreshold(0.1);
let should_adapt =
HardwareAwareQMLOptimizer::check_adaptation_trigger(&error_trigger, &performance)?;
assert!(should_adapt);
let time_trigger =
AdaptationTrigger::ExecutionTimeThreshold(std::time::Duration::from_secs(10));
let should_adapt_time =
HardwareAwareQMLOptimizer::check_adaptation_trigger(&time_trigger, &performance)?;
assert!(should_adapt_time);
Ok(())
}
}
mod integration_tests {
use super::*;
#[test]
fn test_ml_error_mitigation_with_quantum_chemistry() -> TestResult {
let ml_config = AdvancedMLMitigationConfig::default();
let mut ml_mitigator = AdvancedMLErrorMitigator::new(ml_config)?;
let chem_config = ElectronicStructureConfig::default();
let mut chem_simulator = QuantumChemistrySimulator::new(chem_config)?;
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
chem_simulator.set_molecule(h2)?;
let mut vqe_circuit = InterfaceCircuit::new(4, 0);
vqe_circuit.add_gate(InterfaceGate::new(InterfaceGateType::RY(0.1), vec![0]));
vqe_circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
let noisy_measurements = Array1::from_vec(vec![0.48, 0.52, 0.47, 0.53]);
let mitigation_result =
ml_mitigator.mitigate_errors(&noisy_measurements, &vqe_circuit)?;
assert!(mitigation_result.confidence > 0.0);
Ok(())
}
#[test]
fn test_fault_tolerant_synthesis_with_hardware_aware_qml() -> TestResult {
let ft_config = FaultTolerantConfig::default();
let mut ft_synthesizer = FaultTolerantSynthesizer::new(ft_config)?;
let hw_config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::IBMQuantum,
..Default::default()
};
let mut hw_optimizer = HardwareAwareQMLOptimizer::new(hw_config)?;
let mut logical_circuit = InterfaceCircuit::new(2, 0);
logical_circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
logical_circuit.add_gate(InterfaceGate::new(InterfaceGateType::T, vec![0]));
logical_circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
let ft_result = ft_synthesizer.synthesize_logical_circuit(&logical_circuit)?;
let hw_result =
hw_optimizer.optimize_qml_circuit(&ft_result.fault_tolerant_circuit, None)?;
assert!(hw_result.expected_error_rate >= 0.0);
Ok(())
}
#[test]
fn test_quantum_chemistry_with_hardware_aware_optimization() -> TestResult {
let chem_config = ElectronicStructureConfig::default();
let mut chem_simulator = QuantumChemistrySimulator::new(chem_config)?;
let hw_config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::GoogleQuantumAI,
..Default::default()
};
let mut hw_optimizer = HardwareAwareQMLOptimizer::new(hw_config)?;
let lih = Molecule {
atomic_numbers: vec![3, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.6])
.expect("LiH molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
chem_simulator.set_molecule(lih)?;
let chemistry_ansatz = hw_optimizer.generate_hardware_efficient_ansatz(6, 4, 0.8)?;
assert_eq!(chemistry_ansatz.num_qubits, 6);
let optimized_chemistry = hw_optimizer.optimize_qml_circuit(&chemistry_ansatz, None);
assert!(optimized_chemistry.is_ok());
Ok(())
}
#[test]
fn test_full_pipeline_integration() -> TestResult {
let chem_config = ElectronicStructureConfig {
method: ElectronicStructureMethod::VQE,
enable_second_quantization_optimization: true,
..Default::default()
};
let mut chem_simulator = QuantumChemistrySimulator::new(chem_config)?;
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
chem_simulator.set_molecule(h2)?;
let hw_config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::IBMQuantum,
enable_noise_aware_optimization: true,
enable_hardware_efficient_ansatz: true,
..Default::default()
};
let mut hw_optimizer = HardwareAwareQMLOptimizer::new(hw_config)?;
let vqe_ansatz = hw_optimizer.generate_hardware_efficient_ansatz(4, 2, 0.8)?;
let hw_optimized = hw_optimizer.optimize_qml_circuit(&vqe_ansatz, None)?;
let ft_config = FaultTolerantConfig {
target_logical_error_rate: 1e-6,
enable_magic_state_distillation: true,
..Default::default()
};
let mut ft_synthesizer = FaultTolerantSynthesizer::new(ft_config)?;
let ft_result = ft_synthesizer.synthesize_logical_circuit(&hw_optimized.circuit)?;
let ml_config = AdvancedMLMitigationConfig {
enable_ensemble_methods: true,
enable_online_learning: true,
..Default::default()
};
let mut ml_mitigator = AdvancedMLErrorMitigator::new(ml_config)?;
let noisy_measurements = Array1::from_vec(vec![0.45, 0.55, 0.48, 0.52]);
let mitigation_result = ml_mitigator
.mitigate_errors(&noisy_measurements, &ft_result.fault_tolerant_circuit)?;
assert!(hw_optimized.expected_error_rate >= 0.0);
assert!(ft_result.logical_error_rate < 1e-3);
assert!(mitigation_result.confidence > 0.0);
assert!(mitigation_result.error_reduction >= 0.0);
println!("Full pipeline integration test completed successfully!");
println!(
" Hardware optimization error rate: {:.6}",
hw_optimized.expected_error_rate
);
println!(
" Fault-tolerant logical error rate: {:.6}",
ft_result.logical_error_rate
);
println!(
" ML mitigation confidence: {:.4}",
mitigation_result.confidence
);
Ok(())
}
}
mod benchmark_tests {
use super::*;
use std::time::Instant;
#[test]
fn test_ml_error_mitigation_performance() -> TestResult {
let config = AdvancedMLMitigationConfig::default();
let mut mitigator = AdvancedMLErrorMitigator::new(config)?;
let mut circuit = InterfaceCircuit::new(6, 0);
for i in 0..5 {
circuit.add_gate(InterfaceGate::new(
InterfaceGateType::RY(0.1 * i as f64),
vec![i],
));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![i, i + 1]));
}
let measurements = Array1::from_vec(vec![0.48, 0.52, 0.47, 0.53, 0.49, 0.51]);
let start_time = Instant::now();
let result = mitigator.mitigate_errors(&measurements, &circuit);
let duration = start_time.elapsed();
assert!(result.is_ok());
assert!(duration.as_millis() < 1000);
println!(
"ML Error Mitigation Performance: {:.2}ms",
duration.as_millis()
);
Ok(())
}
#[test]
fn test_fault_tolerant_synthesis_performance() -> TestResult {
let config = FaultTolerantConfig {
code_distance: 3,
..Default::default()
};
let mut synthesizer = FaultTolerantSynthesizer::new(config)?;
let mut circuit = InterfaceCircuit::new(3, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::T, vec![2]));
let start_time = Instant::now();
let result = synthesizer.synthesize_logical_circuit(&circuit);
let duration = start_time.elapsed();
assert!(result.is_ok());
assert!(duration.as_millis() < 5000);
println!(
"Fault-Tolerant Synthesis Performance: {:.2}ms",
duration.as_millis()
);
Ok(())
}
#[test]
fn test_quantum_chemistry_performance() -> TestResult {
let config = ElectronicStructureConfig {
max_scf_iterations: 10,
..Default::default()
};
let mut simulator = QuantumChemistrySimulator::new(config)?;
let h2 = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 0.0, 0.0, 1.4])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "STO-3G".to_string(),
};
simulator.set_molecule(h2)?;
let start_time = Instant::now();
let _result = simulator.run_calculation();
let duration = start_time.elapsed();
assert!(duration.as_millis() < 2000);
println!(
"Quantum Chemistry Hamiltonian Construction Performance: {:.2}ms",
duration.as_millis()
);
Ok(())
}
#[test]
fn test_hardware_aware_qml_performance() -> TestResult {
let config = HardwareAwareConfig {
target_architecture: HardwareArchitecture::IBMQuantum,
max_compilation_time_ms: 5000,
..Default::default()
};
let mut optimizer = HardwareAwareQMLOptimizer::new(config)?;
let mut circuit = InterfaceCircuit::new(8, 0);
for i in 0..7 {
circuit.add_gate(InterfaceGate::new(
InterfaceGateType::RY(0.1 * i as f64),
vec![i],
));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![i, i + 1]));
}
let start_time = Instant::now();
let result = optimizer.optimize_qml_circuit(&circuit, None);
let duration = start_time.elapsed();
assert!(result.is_ok());
assert!(duration.as_millis() < 3000);
println!(
"Hardware-Aware QML Optimization Performance: {:.2}ms",
duration.as_millis()
);
Ok(())
}
}
mod telemetry_tests {
use super::*;
use crate::telemetry::*;
#[allow(unused_imports)]
use std::time::Duration;
#[test]
fn test_telemetry_collector_creation() -> TestResult {
let config = TelemetryConfig::default();
let _collector = TelemetryCollector::new(config);
Ok(())
}
#[test]
fn test_telemetry_metric_collection() -> TestResult {
let config = TelemetryConfig::default();
let mut collector = TelemetryCollector::new(config);
collector.record_metric(TelemetryMetric::Counter {
name: "gate_count".to_string(),
value: 10,
tags: HashMap::new(),
timestamp: 1000.0,
})?;
collector.record_metric(TelemetryMetric::Gauge {
name: "execution_time".to_string(),
value: 25.5,
tags: HashMap::new(),
timestamp: 1001.0,
})?;
collector.record_metric(TelemetryMetric::Gauge {
name: "memory_usage".to_string(),
value: 1024.0,
tags: HashMap::new(),
timestamp: 1002.0,
})?;
let summary = collector.get_metrics_summary()?;
assert!(summary.total_metrics >= 3);
assert!(summary.total_quantum_metrics < usize::MAX);
assert!(summary.avg_gate_execution_time >= 0.0);
Ok(())
}
#[test]
fn test_alert_generation() -> TestResult {
let mut config = TelemetryConfig::default();
config.alert_thresholds.max_error_rate = 0.1;
let mut collector = TelemetryCollector::new(config);
collector.record_metric(TelemetryMetric::Gauge {
name: "error_rate".to_string(),
value: 0.15,
tags: HashMap::new(),
timestamp: 1003.0,
})?;
let summary = collector.get_metrics_summary()?;
assert!(summary.total_metrics >= 1);
Ok(())
}
#[test]
fn test_performance_snapshot() -> TestResult {
let config = TelemetryConfig::default();
let collector = TelemetryCollector::new(config);
let summary = collector.get_metrics_summary()?;
assert_eq!(summary.total_metrics, 0);
assert_eq!(summary.total_quantum_metrics, 0);
Ok(())
}
#[test]
fn test_telemetry_export() -> TestResult {
let config = TelemetryConfig {
export_format: TelemetryExportFormat::JSON,
..Default::default()
};
let collector = TelemetryCollector::new(config);
let test_metric = TelemetryMetric::Gauge {
name: "test_metric".to_string(),
value: 42.0,
tags: std::collections::HashMap::new(),
timestamp: std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.expect("SystemTime before UNIX_EPOCH")
.as_secs_f64(),
};
collector.record_metric(test_metric)?;
let temp_dir = std::env::temp_dir().join("telemetry_export_test");
collector.export_data(temp_dir.to_str().ok_or("Invalid temp path")?)?;
assert!(temp_dir.exists());
Ok(())
}
#[test]
fn test_benchmark_telemetry() -> TestResult {
let metrics = crate::telemetry::benchmark_telemetry()?;
assert!(metrics.contains_key("metric_collection_throughput"));
assert!(metrics.contains_key("alert_processing_time"));
assert!(metrics.contains_key("export_generation_time"));
assert!(metrics["metric_collection_throughput"] > 1000.0);
assert!(metrics["alert_processing_time"] < 10.0);
Ok(())
}
}
mod visualization_tests {
use super::*;
use crate::visualization_hooks::*;
#[test]
fn test_visualization_manager_creation() -> TestResult {
let config = VisualizationConfig::default();
let _manager = VisualizationManager::new(config);
Ok(())
}
#[test]
fn test_json_visualization_hook() -> TestResult {
let config = VisualizationConfig::default();
let mut hook = JSONVisualizationHook::new(config);
let test_data = VisualizationData::StateVector {
amplitudes: vec![Complex64::new(1.0, 0.0), Complex64::new(0.0, 0.0)],
basis_labels: vec!["0".to_string(), "1".to_string()],
timestamp: 0.0,
};
hook.process_data(test_data)?;
assert_eq!(hook.framework(), VisualizationFramework::JSON);
Ok(())
}
#[test]
fn test_ascii_visualization_hook() -> TestResult {
let config = VisualizationConfig {
real_time: false,
..Default::default()
};
let mut hook = ASCIIVisualizationHook::new(config);
let test_data = VisualizationData::StateVector {
amplitudes: vec![Complex64::new(0.707, 0.0), Complex64::new(0.707, 0.0)],
basis_labels: vec!["0".to_string(), "1".to_string()],
timestamp: 0.0,
};
hook.process_data(test_data)?;
assert_eq!(hook.framework(), VisualizationFramework::ASCII);
Ok(())
}
#[test]
fn test_state_visualization() -> TestResult {
let config = VisualizationConfig::default();
let mut manager = VisualizationManager::new(config);
let test_state = Array1::from_vec(vec![
Complex64::new(0.5, 0.0),
Complex64::new(0.5, 0.0),
Complex64::new(0.5, 0.0),
Complex64::new(0.5, 0.0),
]);
manager.visualize_state(&test_state, None)?;
Ok(())
}
#[test]
fn test_circuit_visualization() -> TestResult {
let config = VisualizationConfig::default();
let mut manager = VisualizationManager::new(config);
let mut circuit = InterfaceCircuit::new(2, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
manager.visualize_circuit(&circuit)?;
Ok(())
}
#[test]
fn test_visualization_performance() -> TestResult {
let metrics = crate::visualization_hooks::benchmark_visualization()?;
assert!(metrics.contains_key("json_hook_1000_states"));
assert!(metrics.contains_key("ascii_hook_100_states"));
assert!(metrics["json_hook_1000_states"] < 1000.0);
assert!(metrics["ascii_hook_100_states"] < 500.0);
Ok(())
}
}
mod fpga_acceleration_tests {
use super::*;
use crate::fpga_acceleration::*;
#[test]
fn test_fpga_accelerator_creation() -> TestResult {
let config = FPGAConfig::default();
let accelerator = FPGAQuantumSimulator::new(config);
assert!(accelerator.is_ok());
Ok(())
}
#[test]
fn test_fpga_device_info() -> TestResult {
let config = FPGAConfig::default();
let accelerator = FPGAQuantumSimulator::new(config)?;
let device_info = accelerator.get_device_info();
assert!(device_info.device_id > 0);
assert!(device_info.block_ram_kb > 0);
Ok(())
}
#[test]
fn test_fpga_stats() -> TestResult {
let config = FPGAConfig::default();
let accelerator = FPGAQuantumSimulator::new(config)?;
let stats = accelerator.get_stats();
assert_eq!(stats.total_gate_operations, 0);
assert!(stats.total_execution_time >= 0.0);
Ok(())
}
#[test]
fn test_quantum_gate_acceleration() -> TestResult {
let config = FPGAConfig::default();
let accelerator = FPGAQuantumSimulator::new(config)?;
assert!(accelerator.is_fpga_available() || !accelerator.is_fpga_available());
Ok(())
}
#[test]
fn test_fpga_performance_benchmark() -> TestResult {
let metrics = crate::fpga_acceleration::benchmark_fpga_acceleration()?;
assert!(metrics.contains_key("kernel_compilation_time"));
assert!(metrics.contains_key("memory_transfer_bandwidth"));
assert!(metrics.contains_key("gate_execution_throughput"));
assert!(metrics["kernel_compilation_time"] < 5000.0);
assert!(metrics["memory_transfer_bandwidth"] > 100.0);
Ok(())
}
}
mod quantum_reservoir_computing_tests {
use super::*;
use crate::quantum_reservoir_computing::*;
#[test]
fn test_quantum_reservoir_creation() -> TestResult {
let config = QuantumReservoirConfig::default();
let reservoir = QuantumReservoirComputer::new(config);
assert!(reservoir.is_ok());
Ok(())
}
#[test]
fn test_reservoir_dynamics() -> TestResult {
let config = QuantumReservoirConfig::default();
let _reservoir = QuantumReservoirComputer::new(config)?;
Ok(())
}
#[test]
fn test_reservoir_training() -> TestResult {
let config = QuantumReservoirConfig::default();
let _reservoir = QuantumReservoirComputer::new(config)?;
let training_data = ReservoirTrainingData {
inputs: (0..10)
.map(|i| {
Array1::from(vec![
i as f64,
(i + 1) as f64,
(i + 2) as f64,
(i + 3) as f64,
])
})
.collect(),
targets: (0..10)
.map(|i| Array1::from(vec![i as f64, (i + 1) as f64]))
.collect(),
timestamps: (0..10).map(|i| i as f64).collect(),
};
assert_eq!(training_data.inputs.len(), 10);
assert_eq!(training_data.targets.len(), 10);
Ok(())
}
#[test]
fn test_reservoir_prediction() -> TestResult {
let config = QuantumReservoirConfig::default();
let _reservoir = QuantumReservoirComputer::new(config)?;
let training_data = ReservoirTrainingData {
inputs: (0..10)
.map(|i| {
Array1::from(vec![
i as f64,
(i + 1) as f64,
(i + 2) as f64,
(i + 3) as f64,
])
})
.collect(),
targets: (0..10)
.map(|i| Array1::from(vec![i as f64, (i + 1) as f64]))
.collect(),
timestamps: (0..10).map(|i| i as f64).collect(),
};
assert_eq!(training_data.inputs.len(), 10);
assert_eq!(training_data.targets.len(), 10);
assert_eq!(training_data.timestamps.len(), 10);
Ok(())
}
#[test]
#[ignore]
fn test_reservoir_benchmark() -> TestResult {
let metrics =
crate::quantum_reservoir_computing::benchmark_quantum_reservoir_computing()?;
assert!(metrics.contains_key("reservoir_initialization_time"));
assert!(metrics.contains_key("dynamics_evolution_throughput"));
assert!(metrics.contains_key("training_convergence_time"));
assert!(metrics["reservoir_initialization_time"] < 1000.0);
assert!(metrics["dynamics_evolution_throughput"] > 100.0);
Ok(())
}
}
mod comprehensive_integration_tests {
use super::*;
use std::time::Instant;
#[test]
fn test_end_to_end_qml_pipeline() -> TestResult {
let qml_config = HardwareAwareConfig::default();
let mut qml_optimizer = HardwareAwareQMLOptimizer::new(qml_config)?;
let mut circuit = InterfaceCircuit::new(4, 0);
circuit.add_gate(InterfaceGate::new(InterfaceGateType::Hadamard, vec![0]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::CNOT, vec![0, 1]));
circuit.add_gate(InterfaceGate::new(InterfaceGateType::RY(0.5), vec![2]));
let optimization_result = qml_optimizer.optimize_qml_circuit(&circuit, None);
assert!(optimization_result.is_ok());
let telemetry_config = TelemetryConfig::default();
let mut telemetry = TelemetryCollector::new(telemetry_config);
let circuit_metric = TelemetryMetric::Gauge {
name: "circuit_depth".to_string(),
value: circuit.gates.len() as f64,
tags: std::collections::HashMap::new(),
timestamp: std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.expect("SystemTime before UNIX_EPOCH")
.as_secs_f64(),
};
telemetry.record_metric(circuit_metric)?;
let success_metric = TelemetryMetric::Gauge {
name: "optimization_success".to_string(),
value: 1.0,
tags: std::collections::HashMap::new(),
timestamp: std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.expect("SystemTime before UNIX_EPOCH")
.as_secs_f64(),
};
telemetry.record_metric(success_metric)?;
let summary = telemetry.get_metrics_summary()?;
assert_eq!(summary.total_metrics, 2);
Ok(())
}
#[test]
fn test_quantum_chemistry_with_visualization() -> TestResult {
let chemistry_config = ElectronicStructureConfig::default();
let _chemistry_sim = QuantumChemistrySimulator::new(chemistry_config)?;
let viz_config = VisualizationConfig::default();
let _viz_manager = VisualizationManager::new(viz_config);
let molecule = Molecule {
atomic_numbers: vec![1, 1],
positions: Array2::from_shape_vec((2, 3), vec![0.0, 0.0, 0.0, 1.4, 0.0, 0.0])
.expect("H2 molecule positions: 2 atoms x 3 coords = 6 elements"),
charge: 0,
multiplicity: 1,
basis_set: "sto-3g".to_string(),
};
assert_eq!(molecule.atomic_numbers.len(), 2);
assert_eq!(molecule.positions.shape(), &[2, 3]);
assert_eq!(molecule.charge, 0);
assert_eq!(molecule.multiplicity, 1);
Ok(())
}
#[test]
fn test_performance_monitoring_integration() -> TestResult {
let start_time = Instant::now();
let telemetry_config = TelemetryConfig::default();
let mut telemetry = TelemetryCollector::new(telemetry_config);
let reservoir_config = QuantumReservoirConfig::default();
let reservoir = QuantumReservoirComputer::new(reservoir_config);
assert!(reservoir.is_ok());
let reservoir_metric = TelemetryMetric::Gauge {
name: "reservoir_creation_success".to_string(),
value: 1.0,
tags: std::collections::HashMap::new(),
timestamp: std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.expect("SystemTime before UNIX_EPOCH")
.as_secs_f64(),
};
telemetry.record_metric(reservoir_metric)?;
let fpga_config = FPGAConfig::default();
let fpga = FPGAQuantumSimulator::new(fpga_config);
if fpga.is_ok() {
let fpga_metric = TelemetryMetric::Gauge {
name: "fpga_available".to_string(),
value: 1.0,
tags: std::collections::HashMap::new(),
timestamp: std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.expect("SystemTime before UNIX_EPOCH")
.as_secs_f64(),
};
telemetry.record_metric(fpga_metric)?;
}
let qml_config = HardwareAwareConfig::default();
let qml = HardwareAwareQMLOptimizer::new(qml_config);
assert!(qml.is_ok());
let qml_metric = TelemetryMetric::Gauge {
name: "qml_optimizer_ready".to_string(),
value: 1.0,
tags: std::collections::HashMap::new(),
timestamp: std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.expect("SystemTime before UNIX_EPOCH")
.as_secs_f64(),
};
telemetry.record_metric(qml_metric)?;
let total_time = start_time.elapsed();
let duration_metric = TelemetryMetric::Gauge {
name: "integration_test_duration".to_string(),
value: total_time.as_millis() as f64,
tags: std::collections::HashMap::new(),
timestamp: std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.expect("SystemTime before UNIX_EPOCH")
.as_secs_f64(),
};
telemetry.record_metric(duration_metric)?;
let summary = telemetry.get_metrics_summary()?;
assert!(summary.total_metrics > 0);
assert!(summary.total_quantum_metrics < usize::MAX);
Ok(())
}
}
}