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quantrs2_device/quantum_network/distributed_protocols/implementations/
orchestrator.rs

1//! DistributedQuantumOrchestrator and core config implementations
2
3use super::super::types::*;
4use super::fault_tolerance::ComputationResult;
5use super::load_balancers::CapabilityBasedBalancer;
6use super::metrics::AllocationPlan;
7use super::partitioning::*;
8use super::state_management::*;
9use std::collections::HashMap;
10use std::sync::Arc;
11use std::time::Duration;
12use uuid::Uuid;
13
14// Implementation of Default trait for main config
15impl Default for DistributedComputationConfig {
16    fn default() -> Self {
17        Self {
18            max_partition_size: 50,
19            min_partition_size: 5,
20            load_balancing_strategy: LoadBalancingStrategy::CapabilityBased,
21            fault_tolerance_level: FaultToleranceLevel::Basic {
22                redundancy_factor: 2,
23            },
24            state_synchronization_interval: Duration::from_millis(100),
25            entanglement_distribution_protocol: EntanglementDistributionProtocol::Direct,
26            consensus_protocol: ConsensusProtocol::Raft {
27                election_timeout: Duration::from_millis(500),
28                heartbeat_interval: Duration::from_millis(100),
29            },
30            optimization_objectives: vec![
31                OptimizationObjective::MinimizeLatency { weight: 0.3 },
32                OptimizationObjective::MaximizeFidelity { weight: 0.4 },
33                OptimizationObjective::MinimizeResourceUsage { weight: 0.3 },
34            ],
35        }
36    }
37}
38
39// Basic implementations for the main orchestrator
40impl DistributedQuantumOrchestrator {
41    pub fn new(config: DistributedComputationConfig) -> Self {
42        Self {
43            config,
44            nodes: Arc::new(std::sync::RwLock::new(HashMap::new())),
45            circuit_partitioner: Arc::new(CircuitPartitioner::new()),
46            state_manager: Arc::new(DistributedStateManager::new()),
47            load_balancer: Arc::new(CapabilityBasedBalancer::new()),
48            _private: (),
49        }
50    }
51
52    pub async fn submit_computation(&self, _request: ExecutionRequest) -> Result<Uuid> {
53        // Simplified implementation - execution queue moved to internal implementation
54        Ok(Uuid::new_v4())
55    }
56
57    async fn process_execution_queue(&self) -> Result<()> {
58        // Simplified implementation
59        Ok(())
60    }
61}
62
63// Additional implementation methods
64impl DistributedQuantumOrchestrator {
65    async fn execute_distributed_computation(
66        &self,
67        request: ExecutionRequest,
68    ) -> Result<ComputationResult> {
69        // Partition the circuit
70        let nodes = self.nodes.read().expect("Nodes RwLock poisoned").clone();
71        let partitions =
72            self.circuit_partitioner
73                .partition_circuit(&request.circuit, &nodes, &self.config)?;
74
75        // Simplified - resource allocation and execution simplified
76        // Return dummy result for now
77        Ok(ComputationResult {
78            result_id: request.request_id,
79            node_id: NodeId("simplified".to_string()),
80            final_state: None,
81            fidelity: 1.0,
82            error_rate: 0.0,
83            metadata: HashMap::new(),
84            computation_id: request.request_id,
85            measurements: HashMap::new(),
86            execution_time: Duration::from_millis(0),
87        })
88    }
89
90    async fn execute_partitions_parallel(
91        &self,
92        partitions: Vec<CircuitPartition>,
93        allocation_plan: AllocationPlan,
94    ) -> Result<Vec<ComputationResult>> {
95        // Simplified implementation
96        let mut results = Vec::new();
97
98        for partition in partitions {
99            if let Some(allocated_node) = allocation_plan.allocations.keys().next() {
100                let result = self
101                    .execute_partition_on_node(&partition, allocated_node)
102                    .await?;
103                results.push(result);
104            }
105        }
106
107        Ok(results)
108    }
109
110    async fn execute_partition_on_node(
111        &self,
112        partition: &CircuitPartition,
113        node_id: &NodeId,
114    ) -> Result<ComputationResult> {
115        // Simplified implementation
116        Ok(ComputationResult {
117            result_id: Uuid::new_v4(),
118            computation_id: partition.partition_id,
119            node_id: node_id.clone(),
120            measurements: HashMap::new(),
121            final_state: None,
122            execution_time: Duration::from_millis(100),
123            fidelity: 0.95,
124            error_rate: 0.01,
125            metadata: HashMap::new(),
126        })
127    }
128
129    fn aggregate_partition_results(
130        &self,
131        results: Vec<ComputationResult>,
132    ) -> Result<ComputationResult> {
133        // Simplified aggregation
134        if let Some(first_result) = results.first() {
135            Ok(first_result.clone())
136        } else {
137            Err(DistributedComputationError::StateSynchronization(
138                "No results to aggregate".to_string(),
139            ))
140        }
141    }
142
143    pub async fn register_node(&self, node_info: NodeInfo) -> Result<()> {
144        let mut nodes = self.nodes.write().expect("Nodes RwLock poisoned");
145        nodes.insert(node_info.node_id.clone(), node_info);
146        Ok(())
147    }
148
149    pub async fn unregister_node(&self, node_id: &NodeId) -> Result<()> {
150        let mut nodes = self.nodes.write().expect("Nodes RwLock poisoned");
151        nodes.remove(node_id);
152        Ok(())
153    }
154
155    pub async fn get_system_status(&self) -> SystemStatus {
156        let nodes = self.nodes.read().expect("Nodes RwLock poisoned");
157
158        SystemStatus {
159            total_nodes: nodes.len() as u32,
160            active_nodes: nodes
161                .values()
162                .filter(|n| matches!(n.status, NodeStatus::Active))
163                .count() as u32,
164            total_qubits: nodes.values().map(|n| n.capabilities.max_qubits).sum(),
165            active_computations: 0, // Simplified
166            system_health: 0.95,    // Simplified
167        }
168    }
169}
170
171/// System status summary
172#[derive(Debug, Clone, serde::Serialize, serde::Deserialize)]
173pub struct SystemStatus {
174    pub total_nodes: u32,
175    pub active_nodes: u32,
176    pub total_qubits: u32,
177    pub active_computations: u32,
178    pub system_health: f64,
179}