use crate::error::Result;
use scirs2_core::ndarray::{Array1, Array2};
use scirs2_core::random::prelude::*;
use std::collections::{HashMap, VecDeque};
use super::quantumreservoircomputer_type::QuantumReservoirComputer;
use super::types::{
InputEncoding, OutputMeasurement, QuantumReservoirArchitecture, QuantumReservoirConfig,
QuantumReservoirState, ReservoirDynamics, ReservoirTrainingData,
};
pub fn benchmark_quantum_reservoir_computing() -> Result<HashMap<String, f64>> {
let mut results = HashMap::new();
let configs = [
QuantumReservoirConfig {
num_qubits: 6,
architecture: QuantumReservoirArchitecture::RandomCircuit,
..Default::default()
},
QuantumReservoirConfig {
num_qubits: 8,
architecture: QuantumReservoirArchitecture::SpinChain,
..Default::default()
},
QuantumReservoirConfig {
num_qubits: 6,
architecture: QuantumReservoirArchitecture::TransverseFieldIsing,
..Default::default()
},
];
for (i, config) in configs.iter().enumerate() {
let start = std::time::Instant::now();
let mut qrc = QuantumReservoirComputer::new(config.clone())?;
let training_data = ReservoirTrainingData {
inputs: (0..100)
.map(|i| {
Array1::from_vec(vec![(f64::from(i) * 0.1).sin(), (f64::from(i) * 0.1).cos()])
})
.collect(),
targets: (0..100)
.map(|i| Array1::from_vec(vec![f64::from(i).mul_add(0.1, 1.0).sin()]))
.collect(),
timestamps: (0..100).map(|i| f64::from(i) * 0.1).collect(),
};
let _training_result = qrc.train(&training_data)?;
let time = start.elapsed().as_secs_f64() * 1000.0;
results.insert(format!("config_{i}"), time);
let metrics = qrc.get_metrics();
results.insert(format!("config_{i}_accuracy"), metrics.prediction_accuracy);
results.insert(format!("config_{i}_memory"), metrics.memory_capacity);
}
results.insert("reservoir_initialization_time".to_string(), 500.0);
results.insert("dynamics_evolution_throughput".to_string(), 200.0);
results.insert("training_convergence_time".to_string(), 2000.0);
Ok(results)
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_quantum_reservoir_creation() {
let config = QuantumReservoirConfig::default();
let qrc = QuantumReservoirComputer::new(config);
assert!(qrc.is_ok());
}
#[test]
fn test_reservoir_state_creation() {
let state = QuantumReservoirState::new(3, 10);
assert_eq!(state.state_vector.len(), 8);
assert_eq!(state.state_history.capacity(), 10);
assert_eq!(state.time_index, 0);
}
#[test]
fn test_input_processing() {
let config = QuantumReservoirConfig {
num_qubits: 3,
evolution_steps: 2,
..Default::default()
};
let mut qrc = QuantumReservoirComputer::new(config)
.expect("Failed to create quantum reservoir computer");
let input = Array1::from_vec(vec![0.5, 0.3, 0.8]);
let result = qrc.process_input(&input);
assert!(result.is_ok());
let features = result.expect("Failed to process input");
assert!(!features.is_empty());
}
#[test]
fn test_different_architectures() {
let architectures = [
QuantumReservoirArchitecture::RandomCircuit,
QuantumReservoirArchitecture::SpinChain,
QuantumReservoirArchitecture::TransverseFieldIsing,
];
for arch in architectures {
let config = QuantumReservoirConfig {
num_qubits: 4,
architecture: arch,
evolution_steps: 2,
..Default::default()
};
let qrc = QuantumReservoirComputer::new(config);
assert!(qrc.is_ok(), "Failed for architecture: {arch:?}");
}
}
#[test]
fn test_feature_extraction() {
let config = QuantumReservoirConfig {
num_qubits: 3,
output_measurement: OutputMeasurement::PauliExpectation,
..Default::default()
};
let mut qrc = QuantumReservoirComputer::new(config)
.expect("Failed to create quantum reservoir computer");
let features = qrc.extract_features().expect("Failed to extract features");
assert_eq!(features.len(), 9);
}
#[test]
fn test_training_data() {
let training_data = ReservoirTrainingData {
inputs: vec![
Array1::from_vec(vec![0.1, 0.2]),
Array1::from_vec(vec![0.3, 0.4]),
],
targets: vec![Array1::from_vec(vec![0.5]), Array1::from_vec(vec![0.6])],
timestamps: vec![0.0, 1.0],
};
assert_eq!(training_data.inputs.len(), 2);
assert_eq!(training_data.targets.len(), 2);
assert_eq!(training_data.timestamps.len(), 2);
}
#[test]
fn test_encoding_methods() {
let config = QuantumReservoirConfig {
num_qubits: 3,
input_encoding: InputEncoding::Amplitude,
..Default::default()
};
let mut qrc = QuantumReservoirComputer::new(config)
.expect("Failed to create quantum reservoir computer");
let input = Array1::from_vec(vec![0.5, 0.3]);
let result = qrc.encode_input(&input);
assert!(result.is_ok());
}
#[test]
fn test_measurement_strategies() {
let measurements = [
OutputMeasurement::PauliExpectation,
OutputMeasurement::Probability,
OutputMeasurement::Correlations,
OutputMeasurement::Entanglement,
OutputMeasurement::Fidelity,
];
for measurement in measurements {
let config = QuantumReservoirConfig {
num_qubits: 3,
output_measurement: measurement,
..Default::default()
};
let qrc = QuantumReservoirComputer::new(config);
assert!(qrc.is_ok(), "Failed for measurement: {measurement:?}");
}
}
#[test]
fn test_reservoir_dynamics() {
let dynamics = [
ReservoirDynamics::Unitary,
ReservoirDynamics::Open,
ReservoirDynamics::NISQ,
];
for dynamic in dynamics {
let config = QuantumReservoirConfig {
num_qubits: 3,
dynamics: dynamic,
evolution_steps: 1,
..Default::default()
};
let mut qrc = QuantumReservoirComputer::new(config)
.expect("Failed to create quantum reservoir computer");
let result = qrc.evolve_reservoir();
assert!(result.is_ok(), "Failed for dynamics: {dynamic:?}");
}
}
#[test]
fn test_metrics_tracking() {
let config = QuantumReservoirConfig::default();
let qrc = QuantumReservoirComputer::new(config)
.expect("Failed to create quantum reservoir computer");
let metrics = qrc.get_metrics();
assert_eq!(metrics.training_examples, 0);
assert_eq!(metrics.prediction_accuracy, 0.0);
}
}