use std::collections::{HashMap, VecDeque};
use std::sync::{mpsc, Arc, Mutex, RwLock};
use std::time::{Duration, SystemTime, UNIX_EPOCH};
use super::config::{
AlgorithmBenchmarkConfig, CircuitBenchmarkConfig, GateBenchmarkConfig, SystemBenchmarkConfig,
UnifiedBenchmarkConfig,
};
use super::events::BenchmarkEvent;
use super::optimization::OptimizationEngine;
use super::reporting::ReportGenerator;
use super::results::{
AlgorithmLevelResults, CircuitLevelResults, CoherenceTimes, ConnectivityInfo,
CostAnalysisResult, CostMetrics, CrossPlatformAnalysis, DeviceInfo, DeviceSpecifications,
DeviceStatus, ExecutionMetadata, GateLevelResults, HistoricalComparisonResult,
OptimizationRecommendation, PlatformBenchmarkResult, PlatformPerformanceMetrics,
QuantumTechnology, ReliabilityMetrics, ResourceAnalysisResult, SciRS2AnalysisResult,
SystemLevelResults, TopologyType, UnifiedBenchmarkResult,
};
use super::types::{PerformanceBaseline, QuantumPlatform};
use crate::{
advanced_benchmarking_suite::{AdvancedBenchmarkConfig, AdvancedHardwareBenchmarkSuite},
calibration::CalibrationManager,
cross_platform_benchmarking::{CrossPlatformBenchmarkConfig, CrossPlatformBenchmarker},
topology::HardwareTopology,
DeviceError, DeviceResult, QuantumDevice,
};
use quantrs2_core::error::{QuantRS2Error, QuantRS2Result};
use scirs2_core::ndarray::Array2;
pub struct UnifiedQuantumBenchmarkSystem {
config: Arc<RwLock<UnifiedBenchmarkConfig>>,
platform_clients: Arc<RwLock<HashMap<QuantumPlatform, Box<dyn QuantumDevice + Send + Sync>>>>,
cross_platform_benchmarker: Arc<Mutex<CrossPlatformBenchmarker>>,
advanced_suite: Arc<Mutex<AdvancedHardwareBenchmarkSuite>>,
calibration_manager: Arc<Mutex<CalibrationManager>>,
historical_data: Arc<RwLock<VecDeque<UnifiedBenchmarkResult>>>,
baselines: Arc<RwLock<HashMap<String, PerformanceBaseline>>>,
monitoring_handle: Arc<Mutex<Option<std::thread::JoinHandle<()>>>>,
event_publisher: mpsc::Sender<BenchmarkEvent>,
optimization_engine: Arc<Mutex<OptimizationEngine>>,
report_generator: Arc<Mutex<ReportGenerator>>,
}
impl UnifiedQuantumBenchmarkSystem {
pub async fn new(
config: UnifiedBenchmarkConfig,
calibration_manager: CalibrationManager,
) -> DeviceResult<Self> {
let (event_publisher, _) = mpsc::channel();
let config = Arc::new(RwLock::new(config));
let platform_clients = Arc::new(RwLock::new(HashMap::new()));
let cross_platform_config = CrossPlatformBenchmarkConfig::default();
let cross_platform_benchmarker = Arc::new(Mutex::new(CrossPlatformBenchmarker::new(
cross_platform_config,
calibration_manager.clone(),
)));
let advanced_config = AdvancedBenchmarkConfig::default();
let topology = HardwareTopology::linear_topology(8); let advanced_suite = Arc::new(Mutex::new(
AdvancedHardwareBenchmarkSuite::new(
advanced_config,
calibration_manager.clone(),
topology,
)
.await?,
));
let historical_data = Arc::new(RwLock::new(VecDeque::with_capacity(10000)));
let baselines = Arc::new(RwLock::new(HashMap::new()));
let monitoring_handle = Arc::new(Mutex::new(None));
let optimization_engine = Arc::new(Mutex::new(OptimizationEngine::new()));
let report_generator = Arc::new(Mutex::new(ReportGenerator::new()));
Ok(Self {
config,
platform_clients,
cross_platform_benchmarker,
advanced_suite,
calibration_manager: Arc::new(Mutex::new(calibration_manager)),
historical_data,
baselines,
monitoring_handle,
event_publisher,
optimization_engine,
report_generator,
})
}
pub async fn register_platform(
&self,
platform: QuantumPlatform,
device: Box<dyn QuantumDevice + Send + Sync>,
) -> DeviceResult<()> {
let mut clients = self
.platform_clients
.write()
.unwrap_or_else(|e| e.into_inner());
clients.insert(platform, device);
Ok(())
}
pub async fn run_comprehensive_benchmark(&self) -> DeviceResult<UnifiedBenchmarkResult> {
let execution_id = self.generate_execution_id();
let start_time = SystemTime::now();
let config = self
.config
.read()
.unwrap_or_else(|e| e.into_inner())
.clone();
let _ = self.event_publisher.send(BenchmarkEvent::BenchmarkStarted {
execution_id: execution_id.clone(),
platforms: config.target_platforms.clone(),
timestamp: start_time,
});
let mut platform_results = HashMap::new();
for platform in &config.target_platforms {
match self.run_platform_benchmark(platform, &execution_id).await {
Ok(result) => {
let _ = self
.event_publisher
.send(BenchmarkEvent::PlatformBenchmarkCompleted {
execution_id: execution_id.clone(),
platform: platform.clone(),
result: result.clone(),
timestamp: SystemTime::now(),
});
platform_results.insert(platform.clone(), result);
}
Err(e) => {
eprintln!("Platform benchmark failed for {platform:?}: {e}");
}
}
}
let cross_platform_analysis = self
.perform_cross_platform_analysis(&platform_results)
.await?;
let scirs2_analysis = self.perform_scirs2_analysis(&platform_results).await?;
let resource_analysis = self.perform_resource_analysis(&platform_results).await?;
let cost_analysis = self.perform_cost_analysis(&platform_results).await?;
let optimization_recommendations = self
.generate_optimization_recommendations(
&platform_results,
&cross_platform_analysis,
&scirs2_analysis,
)
.await?;
let historical_comparison = self
.perform_historical_comparison(&platform_results)
.await?;
let execution_metadata = ExecutionMetadata {
execution_start_time: start_time,
execution_end_time: SystemTime::now(),
total_duration: SystemTime::now()
.duration_since(start_time)
.unwrap_or(Duration::ZERO),
platforms_tested: config.target_platforms.clone(),
benchmarks_executed: platform_results.len(),
system_info: self.get_system_info(),
};
let result = UnifiedBenchmarkResult {
execution_id: execution_id.clone(),
timestamp: start_time,
config,
platform_results,
cross_platform_analysis,
scirs2_analysis,
resource_analysis,
cost_analysis,
optimization_recommendations,
historical_comparison,
execution_metadata,
};
self.store_historical_result(&result).await;
self.update_baselines(&result).await;
if result
.config
.optimization_config
.enable_intelligent_allocation
{
self.trigger_optimization(&result).await?;
}
if result
.config
.reporting_config
.automated_reports
.enable_automated
{
self.generate_automated_reports(&result).await?;
}
let _ = self
.event_publisher
.send(BenchmarkEvent::BenchmarkCompleted {
execution_id: execution_id.clone(),
result: result.clone(),
timestamp: SystemTime::now(),
});
Ok(result)
}
async fn run_platform_benchmark(
&self,
platform: &QuantumPlatform,
execution_id: &str,
) -> DeviceResult<PlatformBenchmarkResult> {
let config = self
.config
.read()
.unwrap_or_else(|e| e.into_inner())
.clone();
let device_info = self.get_device_info(platform).await?;
let gate_level_results = self
.run_gate_level_benchmarks(platform, &config.benchmark_suite.gate_benchmarks)
.await?;
let circuit_level_results = self
.run_circuit_level_benchmarks(platform, &config.benchmark_suite.circuit_benchmarks)
.await?;
let algorithm_level_results = self
.run_algorithm_level_benchmarks(platform, &config.benchmark_suite.algorithm_benchmarks)
.await?;
let system_level_results = self
.run_system_level_benchmarks(platform, &config.benchmark_suite.system_benchmarks)
.await?;
let performance_metrics = self
.calculate_platform_performance_metrics(
&gate_level_results,
&circuit_level_results,
&algorithm_level_results,
&system_level_results,
)
.await?;
let reliability_metrics = self
.calculate_reliability_metrics(
&gate_level_results,
&circuit_level_results,
&algorithm_level_results,
)
.await?;
let cost_metrics = self
.calculate_cost_metrics(
&gate_level_results,
&circuit_level_results,
&algorithm_level_results,
)
.await?;
Ok(PlatformBenchmarkResult {
platform: platform.clone(),
device_info,
gate_level_results,
circuit_level_results,
algorithm_level_results,
system_level_results,
performance_metrics,
reliability_metrics,
cost_metrics,
})
}
fn generate_execution_id(&self) -> String {
format!(
"unified_benchmark_{}",
SystemTime::now()
.duration_since(UNIX_EPOCH)
.unwrap_or(Duration::ZERO)
.as_millis()
)
}
async fn get_device_info(&self, platform: &QuantumPlatform) -> DeviceResult<DeviceInfo> {
let (provider, technology) = match platform {
QuantumPlatform::IBMQuantum { .. } => {
("IBM".to_string(), QuantumTechnology::Superconducting)
}
QuantumPlatform::AWSBraket { .. } => {
("AWS".to_string(), QuantumTechnology::Superconducting)
}
QuantumPlatform::AzureQuantum { .. } => {
("Microsoft".to_string(), QuantumTechnology::TrappedIon)
}
QuantumPlatform::IonQ { .. } => ("IonQ".to_string(), QuantumTechnology::TrappedIon),
QuantumPlatform::Rigetti { .. } => {
("Rigetti".to_string(), QuantumTechnology::Superconducting)
}
QuantumPlatform::GoogleQuantumAI { .. } => {
("Google".to_string(), QuantumTechnology::Superconducting)
}
QuantumPlatform::Custom { .. } => (
"Custom".to_string(),
QuantumTechnology::Other("Custom".to_string()),
),
};
Ok(DeviceInfo {
device_id: format!("{platform:?}"),
provider,
technology,
specifications: DeviceSpecifications {
num_qubits: 20,
connectivity: ConnectivityInfo {
topology_type: TopologyType::Heavy,
coupling_map: vec![(0, 1), (1, 2), (2, 3)],
connectivity_matrix: Array2::eye(20),
},
gate_set: vec![
"X".to_string(),
"Y".to_string(),
"Z".to_string(),
"H".to_string(),
"CNOT".to_string(),
],
coherence_times: CoherenceTimes {
t1: (0..20).map(|i| (i, Duration::from_micros(100))).collect(),
t2: (0..20).map(|i| (i, Duration::from_micros(50))).collect(),
t2_echo: (0..20).map(|i| (i, Duration::from_micros(80))).collect(),
},
gate_times: [
("X".to_string(), Duration::from_nanos(20)),
("CNOT".to_string(), Duration::from_nanos(100)),
]
.iter()
.cloned()
.collect(),
error_rates: [
("single_qubit".to_string(), 0.001),
("two_qubit".to_string(), 0.01),
]
.iter()
.cloned()
.collect(),
},
current_status: DeviceStatus::Online,
calibration_date: Some(SystemTime::now()),
})
}
async fn run_gate_level_benchmarks(
&self,
_platform: &QuantumPlatform,
_config: &GateBenchmarkConfig,
) -> DeviceResult<GateLevelResults> {
Err(DeviceError::NotImplemented(
"Gate-level benchmarks not yet implemented".to_string(),
))
}
async fn run_circuit_level_benchmarks(
&self,
_platform: &QuantumPlatform,
_config: &CircuitBenchmarkConfig,
) -> DeviceResult<CircuitLevelResults> {
Err(DeviceError::NotImplemented(
"Circuit-level benchmarks not yet implemented".to_string(),
))
}
async fn run_algorithm_level_benchmarks(
&self,
_platform: &QuantumPlatform,
_config: &AlgorithmBenchmarkConfig,
) -> DeviceResult<AlgorithmLevelResults> {
Err(DeviceError::NotImplemented(
"Algorithm-level benchmarks not yet implemented".to_string(),
))
}
async fn run_system_level_benchmarks(
&self,
_platform: &QuantumPlatform,
_config: &SystemBenchmarkConfig,
) -> DeviceResult<SystemLevelResults> {
Err(DeviceError::NotImplemented(
"System-level benchmarks not yet implemented".to_string(),
))
}
async fn perform_cross_platform_analysis(
&self,
_platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
) -> DeviceResult<CrossPlatformAnalysis> {
Err(DeviceError::NotImplemented(
"Cross-platform analysis not yet implemented".to_string(),
))
}
async fn perform_scirs2_analysis(
&self,
_platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
) -> DeviceResult<SciRS2AnalysisResult> {
Err(DeviceError::NotImplemented(
"SciRS2 analysis not yet implemented".to_string(),
))
}
async fn perform_resource_analysis(
&self,
_platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
) -> DeviceResult<ResourceAnalysisResult> {
Err(DeviceError::NotImplemented(
"Resource analysis not yet implemented".to_string(),
))
}
async fn perform_cost_analysis(
&self,
_platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
) -> DeviceResult<CostAnalysisResult> {
Err(DeviceError::NotImplemented(
"Cost analysis not yet implemented".to_string(),
))
}
async fn calculate_platform_performance_metrics(
&self,
_gate_results: &GateLevelResults,
_circuit_results: &CircuitLevelResults,
_algorithm_results: &AlgorithmLevelResults,
_system_results: &SystemLevelResults,
) -> DeviceResult<PlatformPerformanceMetrics> {
Err(DeviceError::NotImplemented(
"Performance metrics calculation not yet implemented".to_string(),
))
}
async fn calculate_reliability_metrics(
&self,
_gate_results: &GateLevelResults,
_circuit_results: &CircuitLevelResults,
_algorithm_results: &AlgorithmLevelResults,
) -> DeviceResult<ReliabilityMetrics> {
Err(DeviceError::NotImplemented(
"Reliability metrics calculation not yet implemented".to_string(),
))
}
async fn calculate_cost_metrics(
&self,
_gate_results: &GateLevelResults,
_circuit_results: &CircuitLevelResults,
_algorithm_results: &AlgorithmLevelResults,
) -> DeviceResult<CostMetrics> {
Err(DeviceError::NotImplemented(
"Cost metrics calculation not yet implemented".to_string(),
))
}
async fn generate_optimization_recommendations(
&self,
_platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
_cross_platform_analysis: &CrossPlatformAnalysis,
_scirs2_analysis: &SciRS2AnalysisResult,
) -> DeviceResult<Vec<OptimizationRecommendation>> {
Ok(vec![])
}
async fn perform_historical_comparison(
&self,
_platform_results: &HashMap<QuantumPlatform, PlatformBenchmarkResult>,
) -> DeviceResult<Option<HistoricalComparisonResult>> {
Ok(None)
}
async fn store_historical_result(&self, result: &UnifiedBenchmarkResult) {
let mut historical_data = self
.historical_data
.write()
.unwrap_or_else(|e| e.into_inner());
historical_data.push_back(result.clone());
if historical_data.len() > 10000 {
historical_data.pop_front();
}
}
async fn update_baselines(&self, _result: &UnifiedBenchmarkResult) {
}
async fn trigger_optimization(&self, _result: &UnifiedBenchmarkResult) -> DeviceResult<()> {
Ok(())
}
async fn generate_automated_reports(
&self,
_result: &UnifiedBenchmarkResult,
) -> DeviceResult<()> {
Ok(())
}
fn get_system_info(&self) -> super::results::SystemInfo {
super::results::SystemInfo {
hostname: "localhost".to_string(),
operating_system: std::env::consts::OS.to_string(),
cpu_info: "Unknown".to_string(),
memory_total: 0,
disk_space: 0,
network_info: "Unknown".to_string(),
}
}
}