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| import asyncio | |
| import aiohttp | |
| from typing import Dict, List, Any, Optional, Tuple | |
| import logging | |
| from dataclasses import dataclass | |
| from enum import Enum | |
| import hashlib | |
| import random | |
| import time | |
| class QuantumConnectionType(Enum): | |
| """Types de connexion quantique""" | |
| BELL_PAIR = "bell_pair" | |
| GHZ_STATE = "ghz_state" | |
| CLUSTER_STATE = "cluster_state" | |
| QUANTUM_INTERNET = "quantum_internet" | |
| class NetworkTopology(Enum): | |
| """Topologies de réseau quantique""" | |
| STAR = "star" | |
| MESH = "mesh" | |
| RING = "ring" | |
| HYBRID = "hybrid" | |
| QUANTUM_FULLY_CONNECTED = "quantum_fully_connected" | |
| class QuantumNode: | |
| """Nœud du réseau quantique""" | |
| node_id: str | |
| location: str | |
| quantum_resources: Dict[str, Any] | |
| connection_capacity: int | |
| entangled_links: List[str] | |
| latency: float | |
| status: str = "active" | |
| class QuantumChannel: | |
| """Canal de communication quantique""" | |
| channel_id: str | |
| node_a: str | |
| node_b: str | |
| entanglement_fidelity: float | |
| bandwidth: float | |
| quantum_memory: bool | |
| established_at: float | |
| class QuantumNetworkManager: | |
| """ | |
| Gestionnaire de réseau quantique global | |
| avec établissement automatique de liens intriqués | |
| """ | |
| def __init__(self): | |
| self.logger = logging.getLogger("quantum_network") | |
| self.quantum_nodes: Dict[str, QuantumNode] = {} | |
| self.quantum_channels: Dict[str, QuantumChannel] = {} | |
| self.entanglement_pairs: List[Tuple[str, str]] = [] | |
| self.network_topology = NetworkTopology.HYBRID | |
| self.quantum_routing_table: Dict[str, List[str]] = {} | |
| async def initialize(self): | |
| """Initialise le réseau quantique""" | |
| self.logger.info("🌐 Initialisation du réseau quantique...") | |
| try: | |
| await self._discover_quantum_nodes() | |
| await self._establish_base_topology() | |
| await self._calibrate_quantum_links() | |
| await self._build_routing_table() | |
| self.logger.info("✅ Réseau quantique initialisé") | |
| return True | |
| except Exception as e: | |
| self.logger.error(f"❌ Erreur d'initialisation réseau quantique: {e}") | |
| return False | |
| async def establish_quantum_connection(self, node_a: str, node_b: str, | |
| connection_type: QuantumConnectionType) -> QuantumChannel: | |
| """Établit une connexion quantique entre deux nœuds""" | |
| try: | |
| if node_a not in self.quantum_nodes or node_b not in self.quantum_nodes: | |
| raise ValueError("Nœuds quantiques introuvables") | |
| # Vérification de la capacité des nœuds | |
| if (len(self.quantum_nodes[node_a].entangled_links) >= self.quantum_nodes[node_a].connection_capacity or | |
| len(self.quantum_nodes[node_b].entangled_links) >= self.quantum_nodes[node_b].connection_capacity): | |
| raise ValueError("Capacité de connexion dépassée") | |
| # Création du canal quantique | |
| channel_id = f"qchannel_{hashlib.md5(f'{node_a}{node_b}{time.time()}'.encode()).hexdigest()[:8]}" | |
| quantum_channel = QuantumChannel( | |
| channel_id=channel_id, | |
| node_a=node_a, | |
| node_b=node_b, | |
| entanglement_fidelity=await self._calculate_entanglement_fidelity(node_a, node_b), | |
| bandwidth=await self._calculate_quantum_bandwidth(node_a, node_b), | |
| quantum_memory=True, | |
| established_at=time.time() | |
| ) | |
| self.quantum_channels[channel_id] = quantum_channel | |
| # Établissement de l'intrication | |
| await self._establish_quantum_entanglement(node_a, node_b, connection_type) | |
| # Mise à jour des nœuds | |
| self.quantum_nodes[node_a].entangled_links.append(node_b) | |
| self.quantum_nodes[node_b].entangled_links.append(node_a) | |
| # Mise à jour de la table de routage | |
| await self._update_routing_table() | |
| self.logger.info(f"🔗 Connexion quantique établie: {node_a} ↔ {node_b} (fidélité: {quantum_channel.entanglement_fidelity:.3f})") | |
| return quantum_channel | |
| except Exception as e: | |
| self.logger.error(f"Erreur établissement connexion quantique: {e}") | |
| raise | |
| async def create_quantum_network_topology(self, topology: NetworkTopology) -> bool: | |
| """Crée une topologie de réseau quantique spécifique""" | |
| try: | |
| self.network_topology = topology | |
| self.logger.info(f"🕸️ Création de la topologie {topology.value}...") | |
| if topology == NetworkTopology.STAR: | |
| await self._create_star_topology() | |
| elif topology == NetworkTopology.MESH: | |
| await self._create_mesh_topology() | |
| elif topology == NetworkTopology.RING: | |
| await self._create_ring_topology() | |
| elif topology == NetworkTopology.QUANTUM_FULLY_CONNECTED: | |
| await self._create_fully_connected_topology() | |
| elif topology == NetworkTopology.HYBRID: | |
| await self._create_hybrid_topology() | |
| await self._update_routing_table() | |
| self.logger.info(f"✅ Topologie {topology.value} créée avec {len(self.quantum_channels)} canaux") | |
| return True | |
| except Exception as e: | |
| self.logger.error(f"Erreur création topologie: {e}") | |
| return False | |
| async def quantum_teleport_data(self, data: Any, source_node: str, target_node: str) -> Dict[str, Any]: | |
| """Téléporte des données via le réseau quantique""" | |
| try: | |
| # Vérification de la connexion quantique | |
| if not await self._check_quantum_connection(source_node, target_node): | |
| self.logger.info(f"🔗 Établissement de connexion quantique pour téléportation...") | |
| await self.establish_quantum_connection(source_node, target_node, QuantumConnectionType.BELL_PAIR) | |
| # Préparation de l'état quantique | |
| quantum_state = await self._encode_data_to_quantum_state(data) | |
| # Téléportation quantique | |
| teleportation_result = await self._perform_quantum_teleportation( | |
| quantum_state, source_node, target_node | |
| ) | |
| return { | |
| "data_teleported": data, | |
| "source": source_node, | |
| "target": target_node, | |
| "success": teleportation_result["success"], | |
| "fidelity": teleportation_result["fidelity"], | |
| "teleportation_time": teleportation_result["time"], | |
| "quantum_channel_used": await self._find_quantum_channel(source_node, target_node) | |
| } | |
| except Exception as e: | |
| self.logger.error(f"Erreur téléportation quantique: {e}") | |
| return {"error": str(e)} | |
| async def distribute_quantum_state(self, quantum_state: Dict[str, Any], | |
| target_nodes: List[str]) -> Dict[str, Any]: | |
| """Distribue un état quantique à multiples nœuds""" | |
| try: | |
| distribution_results = {} | |
| for node in target_nodes: | |
| if node not in self.quantum_nodes: | |
| self.logger.warning(f"⚠️ Nœud {node} non trouvé, ignoré") | |
| continue | |
| result = await self._distribute_to_node(quantum_state, node) | |
| distribution_results[node] = result | |
| return { | |
| "original_state": quantum_state, | |
| "distribution_results": distribution_results, | |
| "consistency_check": await self._verify_state_consistency(distribution_results), | |
| "distribution_efficiency": await self._calculate_distribution_efficiency(distribution_results) | |
| } | |
| except Exception as e: | |
| self.logger.error(f"Erreur distribution état quantique: {e}") | |
| return {"error": str(e)} | |
| async def establish_global_entanglement(self) -> bool: | |
| """Établit une intrication quantique globale""" | |
| try: | |
| node_ids = list(self.quantum_nodes.keys()) | |
| if len(node_ids) < 2: | |
| raise ValueError("Pas assez de nœuds pour l'intrication globale") | |
| self.logger.info(f"🌀 Établissement de l'intrication quantique globale avec {len(node_ids)} nœuds...") | |
| # Création d'un état GHZ global | |
| await self._create_global_ghz_state(node_ids) | |
| # Vérification de l'intrication globale | |
| global_entanglement = await self._verify_global_entanglement() | |
| if global_entanglement: | |
| self.logger.info(f"🌍 Intrication quantique globale établie: {len(node_ids)} nœuds") | |
| else: | |
| self.logger.warning("⚠️ Intrication globale partielle seulement") | |
| return global_entanglement | |
| except Exception as e: | |
| self.logger.error(f"Erreur intrication globale: {e}") | |
| return False | |
| async def optimize_network_routing(self, data_type: str, priority: str = "latency") -> Dict[str, Any]: | |
| """Optimise le routage sur le réseau quantique""" | |
| try: | |
| routing_strategy = await self._select_routing_strategy(data_type, priority) | |
| optimized_routes = await self._calculate_optimized_routes(routing_strategy) | |
| return { | |
| "routing_strategy": routing_strategy, | |
| "optimized_routes": optimized_routes, | |
| "estimated_improvement": await self._estimate_routing_improvement(optimized_routes), | |
| "quantum_advantages": await self._identify_quantum_advantages(optimized_routes), | |
| "topology_efficiency": await self._calculate_topology_efficiency() | |
| } | |
| except Exception as e: | |
| self.logger.error(f"Erreur optimisation routage: {e}") | |
| return {"error": str(e)} | |
| async def add_quantum_node(self, node_id: str, location: str, resources: Dict[str, Any]) -> bool: | |
| """Ajoute un nouveau nœud au réseau quantique""" | |
| try: | |
| if node_id in self.quantum_nodes: | |
| self.logger.warning(f"⚠️ Nœud {node_id} existe déjà") | |
| return False | |
| new_node = QuantumNode( | |
| node_id=node_id, | |
| location=location, | |
| quantum_resources=resources, | |
| connection_capacity=resources.get("max_connections", 10), | |
| entangled_links=[], | |
| latency=resources.get("base_latency", 10.0) | |
| ) | |
| self.quantum_nodes[node_id] = new_node | |
| # Intégration automatique dans la topologie existante | |
| await self._integrate_new_node(node_id) | |
| await self._update_routing_table() | |
| self.logger.info(f"🆕 Nœud quantique ajouté: {node_id} à {location}") | |
| return True | |
| except Exception as e: | |
| self.logger.error(f"Erreur ajout nœud: {e}") | |
| return False | |
| async def get_network_statistics(self) -> Dict[str, Any]: | |
| """Retourne les statistiques du réseau quantique""" | |
| total_entanglements = sum(len(node.entangled_links) for node in self.quantum_nodes.values()) // 2 | |
| return { | |
| "total_nodes": len(self.quantum_nodes), | |
| "total_channels": len(self.quantum_channels), | |
| "total_entanglements": total_entanglements, | |
| "network_topology": self.network_topology.value, | |
| "average_fidelity": np.mean([ch.entanglement_fidelity for ch in self.quantum_channels.values()]) if self.quantum_channels else 0, | |
| "network_coverage": await self._calculate_network_coverage(), | |
| "quantum_connectivity": await self._calculate_quantum_connectivity() | |
| } | |
| async def _discover_quantum_nodes(self): | |
| """Découvre les nœuds quantiques disponibles""" | |
| self.logger.info("🔍 Découverte des nœuds quantiques...") | |
| # Simulation de découverte de nœuds | |
| quantum_nodes_data = [ | |
| ("quantum_hub_paris", "Paris, France", {"qubits": 128, "coherence_time": 150.0, "gate_fidelity": 0.998, "max_connections": 20}), | |
| ("quantum_hub_newyork", "New York, USA", {"qubits": 256, "coherence_time": 120.0, "gate_fidelity": 0.995, "max_connections": 25}), | |
| ("quantum_hub_tokyo", "Tokyo, Japan", {"qubits": 192, "coherence_time": 140.0, "gate_fidelity": 0.997, "max_connections": 18}), | |
| ("quantum_hub_sydney", "Sydney, Australia", {"qubits": 96, "coherence_time": 130.0, "gate_fidelity": 0.996, "max_connections": 15}), | |
| ("quantum_edge_london", "London, UK", {"qubits": 64, "coherence_time": 100.0, "gate_fidelity": 0.992, "max_connections": 12}), | |
| ("quantum_edge_singapore", "Singapore", {"qubits": 80, "coherence_time": 110.0, "gate_fidelity": 0.994, "max_connections": 10}), | |
| ("quantum_edge_sao_paulo", "Sao Paulo, Brazil", {"qubits": 72, "coherence_time": 90.0, "gate_fidelity": 0.991, "max_connections": 8}) | |
| ] | |
| for node_id, location, resources in quantum_nodes_data: | |
| self.quantum_nodes[node_id] = QuantumNode( | |
| node_id=node_id, | |
| location=location, | |
| quantum_resources=resources, | |
| connection_capacity=resources["max_connections"], | |
| entangled_links=[], | |
| latency=random.uniform(5, 50) # Latence simulée en ms | |
| ) | |
| self.logger.info(f"📡 {len(self.quantum_nodes)} nœuds quantiques découverts") | |
| async def _establish_base_topology(self): | |
| """Établit la topologie de base""" | |
| self.logger.info("🕸️ Établissement de la topologie de base...") | |
| # Connexions de base entre hubs principaux pour former un réseau backbone | |
| hubs = [node_id for node_id in self.quantum_nodes.keys() if "hub" in node_id] | |
| # Création d'un anneau backbone entre les hubs | |
| for i in range(len(hubs)): | |
| next_index = (i + 1) % len(hubs) | |
| await self.establish_quantum_connection( | |
| hubs[i], hubs[next_index], QuantumConnectionType.BELL_PAIR | |
| ) | |
| async def _calibrate_quantum_links(self): | |
| """Calibre les liens quantiques""" | |
| self.logger.info("🎛️ Calibration des liens quantiques...") | |
| for channel_id, channel in self.quantum_channels.items(): | |
| # Simulation de calibration - amélioration de la fidélité | |
| calibration_improvement = random.uniform(1.02, 1.08) | |
| calibrated_fidelity = min(0.995, channel.entanglement_fidelity * calibration_improvement) | |
| self.quantum_channels[channel_id].entanglement_fidelity = calibrated_fidelity | |
| self.logger.info("✅ Calibration des liens quantiques terminée") | |
| async def _build_routing_table(self): | |
| """Construit la table de routage quantique""" | |
| self.quantum_routing_table = {} | |
| for node_id in self.quantum_nodes.keys(): | |
| self.quantum_routing_table[node_id] = await self._calculate_routes_from_node(node_id) | |
| async def _calculate_entanglement_fidelity(self, node_a: str, node_b: str) -> float: | |
| """Calcule la fidélité d'intrication entre deux nœuds""" | |
| # Facteurs influençant la fidélité | |
| distance_factor = await self._calculate_distance_factor(node_a, node_b) | |
| resource_quality = await self._calculate_resource_quality(node_a, node_b) | |
| environmental_factor = random.uniform(0.95, 0.99) # Bruit environnemental | |
| base_fidelity = 0.96 | |
| fidelity = base_fidelity * distance_factor * resource_quality * environmental_factor | |
| return min(0.99, fidelity) | |
| async def _calculate_quantum_bandwidth(self, node_a: str, node_b: str) -> float: | |
| """Calcule la bande passante quantique""" | |
| # Dépend des ressources des nœuds et de la distance | |
| node_a_resources = self.quantum_nodes[node_a].quantum_resources | |
| node_b_resources = self.quantum_nodes[node_b].quantum_resources | |
| min_qubits = min(node_a_resources["qubits"], node_b_resources["qubits"]) | |
| coherence_bottleneck = min(node_a_resources["coherence_time"], node_b_resources["coherence_time"]) | |
| # Bande passante en qubits/seconde (simplifié) | |
| bandwidth = min_qubits * (coherence_bottleneck / 1000.0) * 0.1 | |
| return bandwidth | |
| async def _establish_quantum_entanglement(self, node_a: str, node_b: str, connection_type: QuantumConnectionType): | |
| """Établit l'intrication quantique""" | |
| if connection_type == QuantumConnectionType.BELL_PAIR: | |
| await self._create_bell_pair(node_a, node_b) | |
| elif connection_type == QuantumConnectionType.GHZ_STATE: | |
| additional_nodes = self._find_additional_nodes(2) # Besoin de 2 nœuds supplémentaires pour GHZ | |
| await self._create_ghz_state([node_a, node_b] + additional_nodes) | |
| elif connection_type == QuantumConnectionType.CLUSTER_STATE: | |
| await self._create_cluster_state([node_a, node_b]) | |
| elif connection_type == QuantumConnectionType.QUANTUM_INTERNET: | |
| await self._create_quantum_internet_connection(node_a, node_b) | |
| self.entanglement_pairs.append((node_a, node_b)) | |
| self.logger.debug(f"⚛️ Intrication {connection_type.value} établie: {node_a} ↔ {node_b}") | |
| async def _create_star_topology(self): | |
| """Crée une topologie en étoile""" | |
| hubs = [node_id for node_id in self.quantum_nodes.keys() if "hub" in node_id] | |
| edges = [node_id for node_id in self.quantum_nodes.keys() if "edge" in node_id] | |
| if not hubs: | |
| self.logger.warning("Aucun hub trouvé pour la topologie en étoile") | |
| return | |
| central_hub = hubs[0] # Premier hub comme centre | |
| # Connecter tous les autres nœuds au hub central | |
| for node in hubs[1:] + edges: | |
| if node != central_hub: | |
| await self.establish_quantum_connection(central_hub, node, QuantumConnectionType.BELL_PAIR) | |
| async def _create_mesh_topology(self): | |
| """Crée une topologie maillée""" | |
| all_nodes = list(self.quantum_nodes.keys()) | |
| for i in range(len(all_nodes)): | |
| for j in range(i + 1, len(all_nodes)): | |
| # Connecter chaque paire de nœuds | |
| await self.establish_quantum_connection( | |
| all_nodes[i], all_nodes[j], QuantumConnectionType.BELL_PAIR | |
| ) | |
| async def _create_ring_topology(self): | |
| """Crée une topologie en anneau""" | |
| all_nodes = list(self.quantum_nodes.keys()) | |
| for i in range(len(all_nodes)): | |
| next_index = (i + 1) % len(all_nodes) | |
| await self.establish_quantum_connection( | |
| all_nodes[i], all_nodes[next_index], QuantumConnectionType.BELL_PAIR | |
| ) | |
| async def _create_fully_connected_topology(self): | |
| """Crée une topologie entièrement connectée""" | |
| await self._create_mesh_topology() # Mesh est déjà fully connected | |
| async def _create_hybrid_topology(self): | |
| """Crée une topologie hybride""" | |
| # Hubs en mesh, edges connectés aux hubs les plus proches | |
| hubs = [node_id for node_id in self.quantum_nodes.keys() if "hub" in node_id] | |
| edges = [node_id for node_id in self.quantum_nodes.keys() if "edge" in node_id] | |
| # Mesh entre hubs | |
| for i in range(len(hubs)): | |
| for j in range(i + 1, len(hubs)): | |
| await self.establish_quantum_connection(hubs[i], hubs[j], QuantumConnectionType.BELL_PAIR) | |
| # Étoile pour les edges | |
| for edge in edges: | |
| # Trouver le hub le plus proche (simulé) | |
| closest_hub = await self._find_closest_hub(edge, hubs) | |
| if closest_hub: | |
| await self.establish_quantum_connection(closest_hub, edge, QuantumConnectionType.BELL_PAIR) | |
| async def _check_quantum_connection(self, node_a: str, node_b: str) -> bool: | |
| """Vérifie si une connexion quantique existe""" | |
| for channel in self.quantum_channels.values(): | |
| if (channel.node_a == node_a and channel.node_b == node_b) or \ | |
| (channel.node_a == node_b and channel.node_b == node_a): | |
| return True | |
| return False | |
| async def _encode_data_to_quantum_state(self, data: Any) -> Dict[str, Any]: | |
| """Encode des données en état quantique""" | |
| data_str = str(data) | |
| data_hash = hashlib.md5(data_str.encode()).hexdigest() | |
| # Simulation d'encodage quantique | |
| qubits_required = (len(data_str) // 8) + 1 | |
| return { | |
| "encoded_data": data, | |
| "quantum_representation": f"|ψ_{data_hash[:8]}>", | |
| "qubits_required": qubits_required, | |
| "entanglement_pattern": "bell_state_encoding", | |
| "compression_ratio": len(data_str) / qubits_required | |
| } | |
| async def _perform_quantum_teleportation(self, quantum_state: Dict[str, Any], | |
| source: str, target: str) -> Dict[str, Any]: | |
| """Effectue la téléportation quantique""" | |
| # Simulation de téléportation quantique | |
| channel = await self._find_quantum_channel(source, target) | |
| if not channel: | |
| return {"success": False, "fidelity": 0.0, "time": 0.0} | |
| # Temps de téléportation proportionnel aux qubits et à la fidélité | |
| base_time = quantum_state["qubits_required"] * 0.01 # 10ms par qubit | |
| fidelity_penalty = (1.0 - channel.entanglement_fidelity) * 0.5 | |
| teleportation_time = base_time * (1.0 + fidelity_penalty) | |
| # Probabilité de succès basée sur la fidélité | |
| success_probability = channel.entanglement_fidelity * 0.95 # 95% de la fidélité | |
| return { | |
| "success": random.random() < success_probability, | |
| "fidelity": channel.entanglement_fidelity, | |
| "time": teleportation_time, | |
| "resources_used": quantum_state["qubits_required"] * 3 # Qubits de téléportation | |
| } | |
| async def _distribute_to_node(self, quantum_state: Dict[str, Any], node: str) -> Dict[str, Any]: | |
| """Distribue un état quantique à un nœud spécifique""" | |
| # Simulation de distribution | |
| distribution_time = quantum_state["qubits_required"] * 0.005 # 5ms par qubit | |
| success_rate = random.uniform(0.85, 0.98) | |
| return { | |
| "node": node, | |
| "state_received": random.random() < success_rate, | |
| "fidelity": random.uniform(0.88, 0.96), | |
| "distribution_time": distribution_time, | |
| "verification_passed": random.random() < 0.95, | |
| "quantum_memory_used": quantum_state["qubits_required"] | |
| } | |
| async def _verify_state_consistency(self, distribution_results: Dict[str, Any]) -> bool: | |
| """Vérifie la cohérence des états distribués""" | |
| successful_distributions = [result for result in distribution_results.values() | |
| if result.get("state_received", False) and result.get("verification_passed", False)] | |
| # Dans un vrai système quantique, on vérifierait les corrélations quantiques | |
| consistency_threshold = 0.8 # 80% de distributions réussies | |
| consistency_ratio = len(successful_distributions) / len(distribution_results) if distribution_results else 0 | |
| return consistency_ratio >= consistency_threshold | |
| async def _calculate_distribution_efficiency(self, distribution_results: Dict[str, Any]) -> float: | |
| """Calcule l'efficacité de la distribution""" | |
| if not distribution_results: | |
| return 0.0 | |
| total_time = sum(result.get("distribution_time", 0) for result in distribution_results.values()) | |
| successful = sum(1 for result in distribution_results.values() if result.get("state_received", False)) | |
| efficiency = (successful / len(distribution_results)) * (1.0 / (total_time + 0.1)) # Éviter division par zéro | |
| return min(1.0, efficiency * 10) # Normalisation | |
| async def _create_global_ghz_state(self, node_ids: List[str]): | |
| """Crée un état GHZ global""" | |
| if len(node_ids) < 3: | |
| self.logger.warning("GHZ state requires at least 3 nodes") | |
| return | |
| # Simulation de création d'état GHZ | |
| # Dans la réalité, cela nécessiterait une synchronisation complexe | |
| for i in range(len(node_ids)): | |
| for j in range(i + 1, len(node_ids)): | |
| # Établir des connexions pour l'état GHZ | |
| if not await self._check_quantum_connection(node_ids[i], node_ids[j]): | |
| await self.establish_quantum_connection( | |
| node_ids[i], node_ids[j], QuantumConnectionType.GHZ_STATE | |
| ) | |
| async def _verify_global_entanglement(self) -> bool: | |
| """Vérifie l'intrication globale""" | |
| connected_nodes = set() | |
| for pair in self.entanglement_pairs: | |
| connected_nodes.add(pair[0]) | |
| connected_nodes.add(pair[1]) | |
| # Vérifier que tous les nœuds sont connectés directement ou indirectement | |
| return len(connected_nodes) == len(self.quantum_nodes) | |
| async def _select_routing_strategy(self, data_type: str, priority: str) -> str: | |
| """Sélectionne la stratégie de routage""" | |
| strategies = { | |
| "latency": "quantum_shortest_path", | |
| "reliability": "quantum_redundant_path", | |
| "security": "quantum_entangled_path", | |
| "capacity": "quantum_multipath", | |
| "efficiency": "quantum_adaptive_routing" | |
| } | |
| # Adaptation en fonction du type de données | |
| if "sensitive" in data_type: | |
| return "quantum_entangled_path" | |
| elif "bulk" in data_type: | |
| return "quantum_multipath" | |
| else: | |
| return strategies.get(priority, "quantum_adaptive_routing") | |
| async def _calculate_optimized_routes(self, strategy: str) -> Dict[str, List[str]]: | |
| """Calcule les routes optimisées""" | |
| routes = {} | |
| for source in self.quantum_nodes.keys(): | |
| for target in self.quantum_nodes.keys(): | |
| if source != target: | |
| if strategy == "quantum_shortest_path": | |
| route = await self._shortest_path_route(source, target) | |
| elif strategy == "quantum_redundant_path": | |
| route = await self._redundant_path_route(source, target) | |
| elif strategy == "quantum_entangled_path": | |
| route = await self._entangled_path_route(source, target) | |
| elif strategy == "quantum_multipath": | |
| route = await self._multipath_route(source, target) | |
| else: # quantum_adaptive_routing | |
| route = await self._adaptive_route(source, target) | |
| routes[f"{source}->{target}"] = route | |
| return routes | |
| async def _estimate_routing_improvement(self, optimized_routes: Dict[str, List[str]]) -> float: | |
| """Estime l'amélioration du routage""" | |
| # Calculer la métrique d'efficacité moyenne | |
| total_efficiency = 0 | |
| route_count = 0 | |
| for route_path in optimized_routes.values(): | |
| if len(route_path) >= 2: | |
| efficiency = 1.0 / len(route_path) # Plus court = plus efficace | |
| total_efficiency += efficiency | |
| route_count += 1 | |
| avg_efficiency = total_efficiency / route_count if route_count > 0 else 0 | |
| return min(1.0, avg_efficiency * 2) # Normalisation | |
| async def _identify_quantum_advantages(self, optimized_routes: Dict[str, List[str]]) -> List[str]: | |
| """Identifie les avantages quantiques""" | |
| advantages = [] | |
| # Vérifier l'utilisation de l'intrication | |
| entangled_routes = sum(1 for route in optimized_routes.values() | |
| if any(self._is_entangled_pair(route[i], route[i+1]) | |
| for i in range(len(route)-1))) | |
| if entangled_routes > len(optimized_routes) * 0.3: # 30% des routes utilisent l'intrication | |
| advantages.append("entanglement_based_routing") | |
| # Vérifier le multipath | |
| multipath_routes = sum(1 for route in optimized_routes.values() if len(route) > 2) | |
| if multipath_routes > len(optimized_routes) * 0.4: # 40% des routes sont multipath | |
| advantages.append("quantum_multipath_capability") | |
| # Vérifier la redondance quantique | |
| if len(self.entanglement_pairs) > len(self.quantum_nodes) * 2: | |
| advantages.append("quantum_redundancy") | |
| return advantages | |
| async def _calculate_topology_efficiency(self) -> float: | |
| """Calcule l'efficacité de la topologie""" | |
| total_possible_connections = len(self.quantum_nodes) * (len(self.quantum_nodes) - 1) // 2 | |
| actual_connections = len(self.quantum_channels) | |
| if total_possible_connections == 0: | |
| return 0.0 | |
| connection_efficiency = actual_connections / total_possible_connections | |
| # Pénalité pour la latence moyenne | |
| avg_latency = np.mean([node.latency for node in self.quantum_nodes.values()]) | |
| latency_penalty = min(1.0, avg_latency / 100.0) # Normalisation sur 100ms | |
| return connection_efficiency * (1.0 - latency_penalty) | |
| async def _integrate_new_node(self, new_node_id: str): | |
| """Intègre un nouveau nœud dans la topologie existante""" | |
| # Stratégie d'intégration basée sur la topologie actuelle | |
| if self.network_topology == NetworkTopology.STAR: | |
| await self._integrate_into_star(new_node_id) | |
| elif self.network_topology == NetworkTopology.MESH: | |
| await self._integrate_into_mesh(new_node_id) | |
| elif self.network_topology == NetworkTopology.RING: | |
| await self._integrate_into_ring(new_node_id) | |
| else: # HYBRID ou autres | |
| await self._integrate_into_hybrid(new_node_id) | |
| async def _update_routing_table(self): | |
| """Met à jour la table de routage""" | |
| self.quantum_routing_table = {} | |
| for node_id in self.quantum_nodes.keys(): | |
| self.quantum_routing_table[node_id] = await self._calculate_routes_from_node(node_id) | |
| async def _calculate_routes_from_node(self, source: str) -> List[str]: | |
| """Calcule les routes disponibles depuis un nœud""" | |
| routes = [] | |
| for target in self.quantum_nodes.keys(): | |
| if source != target: | |
| route = await self._shortest_path_route(source, target) | |
| routes.append(route) | |
| return routes | |
| async def _calculate_network_coverage(self) -> float: | |
| """Calcule la couverture du réseau""" | |
| connected_components = await self._find_connected_components() | |
| largest_component = max(connected_components, key=len) if connected_components else [] | |
| return len(largest_component) / len(self.quantum_nodes) if self.quantum_nodes else 0.0 | |
| async def _calculate_quantum_connectivity(self) -> float: | |
| """Calcule la connectivité quantique""" | |
| total_possible_entanglements = len(self.quantum_nodes) * (len(self.quantum_nodes) - 1) // 2 | |
| actual_entanglements = len(self.entanglement_pairs) | |
| return actual_entanglements / total_possible_entanglements if total_possible_entanglements > 0 else 0.0 | |
| # Méthodes utilitaires (implémentations simplifiées) | |
| async def _calculate_distance_factor(self, node_a: str, node_b: str) -> float: | |
| """Calcule le facteur de distance pour la fidélité""" | |
| # Simulation basée sur la localisation | |
| locations = { | |
| "paris": (48.8566, 2.3522), | |
| "newyork": (40.7128, -74.0060), | |
| "tokyo": (35.6762, 139.6503), | |
| "sydney": (-33.8688, 151.2093), | |
| "london": (51.5074, -0.1278), | |
| "singapore": (1.3521, 103.8198), | |
| "sao_paulo": (-23.5505, -46.6333) | |
| } | |
| # Extraire la ville des node_id | |
| def extract_city(node_id): | |
| for city in locations.keys(): | |
| if city in node_id.lower(): | |
| return city | |
| return "paris" # Par défaut | |
| city_a = extract_city(node_a) | |
| city_b = extract_city(node_b) | |
| if city_a == city_b: | |
| return 0.98 # Même ville | |
| # Distance simulée (plus la distance est grande, plus la fidélité baisse) | |
| base_factor = 0.95 | |
| distance_penalty = random.uniform(0.02, 0.08) | |
| return max(0.8, base_factor - distance_penalty) | |
| async def _calculate_resource_quality(self, node_a: str, node_b: str) -> float: | |
| """Calcule la qualité des ressources""" | |
| node_a_quality = self.quantum_nodes[node_a].quantum_resources["gate_fidelity"] | |
| node_b_quality = self.quantum_nodes[node_b].quantum_resources["gate_fidelity"] | |
| return (node_a_quality + node_b_quality) / 2 | |
| async def _find_quantum_channel(self, node_a: str, node_b: str) -> Optional[QuantumChannel]: | |
| """Trouve le canal quantique entre deux nœuds""" | |
| for channel in self.quantum_channels.values(): | |
| if (channel.node_a == node_a and channel.node_b == node_b) or \ | |
| (channel.node_a == node_b and channel.node_b == node_a): | |
| return channel | |
| return None | |
| def _find_additional_nodes(self, count: int) -> List[str]: | |
| """Trouve des nœuds supplémentaires pour les états multi-partites""" | |
| available_nodes = [node for node in self.quantum_nodes.keys() | |
| if len(self.quantum_nodes[node].entangled_links) < self.quantum_nodes[node].connection_capacity - 1] | |
| return available_nodes[:count] | |
| async def _find_closest_hub(self, edge_node: str, hubs: List[str]) -> Optional[str]: | |
| """Trouve le hub le plus proche d'un nœud edge""" | |
| if not hubs: | |
| return None | |
| # Simulation basée sur la latence | |
| min_latency = float('inf') | |
| closest_hub = None | |
| for hub in hubs: | |
| # Estimation de latence basée sur la localisation | |
| latency_estimate = self.quantum_nodes[edge_node].latency + self.quantum_nodes[hub].latency | |
| if latency_estimate < min_latency: | |
| min_latency = latency_estimate | |
| closest_hub = hub | |
| return closest_hub | |
| def _is_entangled_pair(self, node_a: str, node_b: str) -> bool: | |
| """Vérifie si deux nœuds sont intriqués""" | |
| return (node_a, node_b) in self.entanglement_pairs or (node_b, node_a) in self.entanglement_pairs | |
| async def _find_connected_components(self) -> List[List[str]]: | |
| """Trouve les composantes connexes du réseau""" | |
| visited = set() | |
| components = [] | |
| for node in self.quantum_nodes.keys(): | |
| if node not in visited: | |
| component = await self._bfs_connected_component(node) | |
| components.append(component) | |
| visited.update(component) | |
| return components | |
| async def _bfs_connected_component(self, start_node: str) -> List[str]: | |
| """Trouve la composante connexe par BFS""" | |
| visited = set() | |
| queue = [start_node] | |
| while queue: | |
| node = queue.pop(0) | |
| if node not in visited: | |
| visited.add(node) | |
| # Ajouter les voisins (nœuds connectés) | |
| for channel in self.quantum_channels.values(): | |
| if channel.node_a == node and channel.node_b not in visited: | |
| queue.append(channel.node_b) | |
| elif channel.node_b == node and channel.node_a not in visited: | |
| queue.append(channel.node_a) | |
| return list(visited) | |
| # Algorithmes de routage (implémentations simplifiées) | |
| async def _shortest_path_route(self, source: str, target: str) -> List[str]: | |
| """Calcule le chemin le plus court""" | |
| # Implémentation simplifiée du plus court chemin | |
| if await self._check_quantum_connection(source, target): | |
| return [source, target] | |
| # Chercher un chemin via un nœud intermédiaire | |
| for intermediate in self.quantum_nodes.keys(): | |
| if (intermediate != source and intermediate != target and | |
| await self._check_quantum_connection(source, intermediate) and | |
| await self._check_quantum_connection(intermediate, target)): | |
| return [source, intermediate, target] | |
| return [source, target] # Retourner le chemin direct même s'il n'existe pas | |
| async def _redundant_path_route(self, source: str, target: str) -> List[str]: | |
| """Calcule un chemin redondant""" | |
| base_route = await self._shortest_path_route(source, target) | |
| # Ajouter un chemin alternatif si possible | |
| return base_route | |
| async def _entangled_path_route(self, source: str, target: str) -> List[str]: | |
| """Calcule un chemin utilisant l'intrication""" | |
| route = await self._shortest_path_route(source, target) | |
| # Marquer les paires intriquées dans le chemin | |
| return route | |
| async def _multipath_route(self, source: str, target: str) -> List[str]: | |
| """Calcule un chemin multipath""" | |
| route = await self._shortest_path_route(source, target) | |
| # Étendre pour supporter multiple chemins | |
| return route | |
| async def _adaptive_route(self, source: str, target: str) -> List[str]: | |
| """Calcule un chemin adaptatif""" | |
| # Utiliser différentes stratégies selon les conditions | |
| return await self._shortest_path_route(source, target) | |
| async def _integrate_into_star(self, new_node_id: str): | |
| """Intègre un nouveau nœud dans une topologie en étoile""" | |
| hubs = [node_id for node_id in self.quantum_nodes.keys() if "hub" in node_id and node_id != new_node_id] | |
| if hubs: | |
| central_hub = hubs[0] # Premier hub disponible | |
| await self.establish_quantum_connection(central_hub, new_node_id, QuantumConnectionType.BELL_PAIR) | |
| async def _integrate_into_mesh(self, new_node_id: str): | |
| """Intègre un nouveau nœud dans une topologie maillée""" | |
| # Connecter à quelques nœuds existants | |
| existing_nodes = [node for node in self.quantum_nodes.keys() if node != new_node_id] | |
| connections_to_make = min(3, len(existing_nodes)) # Maximum 3 connexions | |
| for i in range(connections_to_make): | |
| if i < len(existing_nodes): | |
| await self.establish_quantum_connection(new_node_id, existing_nodes[i], QuantumConnectionType.BELL_PAIR) | |
| async def _integrate_into_ring(self, new_node_id: str): | |
| """Intègre un nouveau nœud dans une topologie en anneau""" | |
| existing_nodes = [node for node in self.quantum_nodes.keys() if node != new_node_id] | |
| if len(existing_nodes) >= 2: | |
| # Insérer dans l'anneau en cassant une connexion et en créant deux nouvelles | |
| node_a, node_b = existing_nodes[0], existing_nodes[1] | |
| await self.establish_quantum_connection(new_node_id, node_a, QuantumConnectionType.BELL_PAIR) | |
| await self.establish_quantum_connection(new_node_id, node_b, QuantumConnectionType.BELL_PAIR) | |
| async def _integrate_into_hybrid(self, new_node_id: str): | |
| """Intègre un nouveau nœud dans une topologie hybride""" | |
| if "hub" in new_node_id: | |
| # Nouveau hub - connecter à d'autres hubs | |
| hubs = [node for node in self.quantum_nodes.keys() if "hub" in node and node != new_node_id] | |
| for hub in hubs[:2]: # Connecter à 2 hubs existants | |
| await self.establish_quantum_connection(new_node_id, hub, QuantumConnectionType.BELL_PAIR) | |
| else: | |
| # Nouveau edge - connecter au hub le plus proche | |
| hubs = [node for node in self.quantum_nodes.keys() if "hub" in node] | |
| closest_hub = await self._find_closest_hub(new_node_id, hubs) | |
| if closest_hub: | |
| await self.establish_quantum_connection(closest_hub, new_node_id, QuantumConnectionType.BELL_PAIR) | |
| async def _create_bell_pair(self, node_a: str, node_b: str): | |
| """Crée une paire de Bell""" | |
| # Simulation de création de paire de Bell | |
| pass | |
| async def _create_ghz_state(self, nodes: List[str]): | |
| """Crée un état GHZ""" | |
| # Simulation de création d'état GHZ | |
| pass | |
| async def _create_cluster_state(self, nodes: List[str]): | |
| """Crée un état cluster""" | |
| # Simulation de création d'état cluster | |
| pass | |
| async def _create_quantum_internet_connection(self, node_a: str, node_b: str): | |
| """Crée une connexion quantique de type internet""" | |
| # Simulation de connexion quantique avancée | |
| pass | |
| # Import numpy pour les calculs | |
| import numpy as np | |
| # Instance globale du gestionnaire de réseau quantique | |
| quantum_network = QuantumNetworkManager() | |
| async def initialize_quantum_network(): | |
| """Initialise le réseau quantique global""" | |
| return await quantum_network.initialize() | |
| async def create_quantum_link(node_a: str, node_b: str): | |
| """Crée un lien quantique entre deux nœuds""" | |
| return await quantum_network.establish_quantum_connection( | |
| node_a, node_b, QuantumConnectionType.BELL_PAIR | |
| ) | |
| async def get_network_status(): | |
| """Retourne le statut du réseau quantique""" | |
| return await quantum_network.get_network_statistics() |