import asyncio import numpy as np import random from typing import List, Dict, Any import logging class QuantumBridge: """ Simule un ordinateur quantique avec effets quantiques avancés """ def __init__(self): self.logger = logging.getLogger("quantum_bridge") self.qubit_count = 1024 # Qubits simulés self.quantum_states = {} self.entanglement_network = {} self.superposition_cache = {} async def initialize(self): """Initialise le pont quantique""" self.logger.info("⚛️ Initialisation du pont quantique...") # Initialisation des qubits simulés self.qubits = await self._initialize_qubits() # Configuration des portes quantiques self.quantum_gates = await self._setup_quantum_gates() self.logger.info(f"✅ Pont quantique initialisé avec {self.qubit_count} qubits simulés") return True async def create_superposition(self, data: Any) -> List[Any]: """Crée une superposition quantique de données""" self.logger.info("🌊 Création de superposition quantique...") # Génère multiples états superposés superposed_states = [] num_states = random.randint(3, 11) # Nombre d'états superposés for i in range(num_states): # Applique des transformations quantiques transformed = await self._apply_quantum_transform(data, i) superposed_states.append(transformed) # Stocke la superposition superposition_id = hash(str(data)) self.superposition_cache[superposition_id] = superposed_states return superposed_states async def collapse_wavefunction(self, states: List[Any]) -> Any: """Effondre la fonction d'onde pour obtenir un état classique""" # Implémentation de l'effondrement quantique probabilities = await self._calculate_probability_amplitudes(states) collapsed_state = await self._quantum_collapse(states, probabilities) self.logger.info(f"🔮 Fonction d'onde effondrée - État sélectionné") return collapsed_state async def entangle_futures(self, futures: List[Dict]) -> Dict[str, Any]: """Entangle quantiquement des futurs possibles""" entangled_futures = {} for i, future1 in enumerate(futures): for j, future2 in enumerate(futures[i+1:], i+1): entanglement_strength = await self._calculate_entanglement(future1, future2) key = f"future_{i}_future_{j}" entangled_futures[key] = { 'strength': entanglement_strength, 'correlation': await self._measure_correlation(future1, future2), 'quantum_coherence': random.uniform(0.7, 0.99) } return entangled_futures async def measure_quantum_fluctuations(self) -> float: """Mesure les fluctuations quantiques de la réalité""" # Simulation de fluctuations quantiques fluctuation = random.normalvariate(0, 0.1) stability = max(0.1, min(1.0, 0.8 + fluctuation)) return stability async def quantum_tunnel(self, barrier: Any, particle: Any) -> Any: """Simule l'effet tunnel quantique""" tunneling_probability = await self._calculate_tunneling_probability(barrier, particle) if random.random() < tunneling_probability: self.logger.info("🌀 Effet tunnel quantique réussi!") return await self._apply_tunneling_effect(particle) else: return particle async def _initialize_qubits(self): """Initialise les qubits simulés""" qubits = {} for i in range(self.qubit_count): qubits[f"q{i}"] = { 'state': [1/np.sqrt(2), 1/np.sqrt(2)], # État |+⟩ 'entangled_with': [], 'decoherence_time': random.uniform(100, 1000), 'fidelity': random.uniform(0.95, 0.99) } return qubits async def _setup_quantum_gates(self): """Configure les portes quantiques simulées""" return { 'hadamard': self._hadamard_gate, 'cnot': self._cnot_gate, 'pauli_x': self._pauli_x_gate, 'pauli_y': self._pauli_y_gate, 'pauli_z': self._pauli_z_gate, 'phase': self._phase_gate } async def _apply_quantum_transform(self, data: Any, state_index: int) -> Any: """Applique une transformation quantique aux données""" if isinstance(data, str): # Transformation quantique de texte return await self._transform_text_quantum(data, state_index) elif isinstance(data, dict): # Transformation quantique de dictionnaire return await self._transform_dict_quantum(data, state_index) else: return data async def _transform_text_quantum(self, text: str, state_index: int) -> str: """Transforme du texte avec des effets quantiques""" transformations = [ lambda t: t.upper(), lambda t: t.lower(), lambda t: t[::-1], # Inversion quantique lambda t: ''.join(sorted(t)), lambda t: ' '.join(t.split()[::-1]), # Mots inversés lambda t: t + " [État Quantique]", lambda t: f"🔮 {t} ⚛️", lambda t: await self._apply_quantum_grammar(t) ] transform = transformations[state_index % len(transformations)] return transform(text) async def _transform_dict_quantum(self, data: Dict, state_index: int) -> Dict: """Transforme un dictionnaire avec des effets quantiques""" transformed = data.copy() # Applique des modifications quantiques for key in transformed: if isinstance(transformed[key], (int, float)): transformed[key] *= random.uniform(0.8, 1.2) elif isinstance(transformed[key], str): transformed[key] = await self._transform_text_quantum(transformed[key], state_index) return transformed async def _calculate_probability_amplitudes(self, states: List[Any]) -> List[float]: """Calcule les amplitudes de probabilité pour chaque état""" amplitudes = [random.random() for _ in states] total = sum(amplitudes) return [a/total for a in amplitudes] async def _quantum_collapse(self, states: List[Any], probabilities: List[float]) -> Any: """Simule l'effondrement quantique selon les probabilités""" return random.choices(states, weights=probabilities)[0] async def _calculate_entanglement(self, future1: Dict, future2: Dict) -> float: """Calcule le niveau d'intrication entre deux futurs""" similarity_score = await self._calculate_similarity(future1, future2) return min(1.0, similarity_score * 1.2) async def _calculate_similarity(self, obj1: Any, obj2: Any) -> float: """Calcule la similarité entre deux objets""" if isinstance(obj1, str) and isinstance(obj2, str): return self._text_similarity(obj1, obj2) elif isinstance(obj1, dict) and isinstance(obj2, dict): return await self._dict_similarity(obj1, obj2) else: return 0.5 def _text_similarity(self, text1: str, text2: str) -> float: """Similarité textuelle simplifiée""" words1 = set(text1.lower().split()) words2 = set(text2.lower().split()) if not words1 or not words2: return 0.0 intersection = words1.intersection(words2) union = words1.union(words2) return len(intersection) / len(union) async def _dict_similarity(self, dict1: Dict, dict2: Dict) -> float: """Similarité entre dictionnaires""" common_keys = set(dict1.keys()).intersection(set(dict2.keys())) all_keys = set(dict1.keys()).union(set(dict2.keys())) if not all_keys: return 1.0 similarity_sum = 0 for key in common_keys: key_similarity = await self._calculate_similarity(dict1[key], dict2[key]) similarity_sum += key_similarity return similarity_sum / len(all_keys) if all_keys else 0.0 async def _measure_correlation(self, future1: Dict, future2: Dict) -> float: """Mesure la corrélation entre deux futurs""" return random.uniform(0.3, 0.95) async def _calculate_tunneling_probability(self, barrier: Any, particle: Any) -> float: """Calcule la probabilité d'effet tunnel""" # Simulation simplifiée barrier_strength = len(str(barrier)) / 100 particle_energy = len(str(particle)) / 50 return max(0.01, min(0.9, particle_energy / (barrier_strength + 0.1))) async def _apply_tunneling_effect(self, particle: Any) -> Any: """Applique l'effet tunnel à une particule""" if isinstance(particle, str): return f"[TUNNEL]{particle}[/TUNNEL]" elif isinstance(particle, dict): particle['quantum_tunnel'] = True return particle else: return particle async def _apply_quantum_grammar(self, text: str) -> str: """Applique une grammaire quantique au texte""" words = text.split() if len(words) > 1: # Mélange quantique des mots random.shuffle(words) return ' '.join(words) return text # Portes quantiques simulées def _hadamard_gate(self, qubit_state): """Porte Hadamard simulée""" return [1/np.sqrt(2), 1/np.sqrt(2)] def _cnot_gate(self, control_state, target_state): """Porte CNOT simulée""" return control_state, target_state # Simplifié def _pauli_x_gate(self, qubit_state): """Porte Pauli-X simulée""" return [qubit_state[1], qubit_state[0]] def _pauli_y_gate(self, qubit_state): """Porte Pauli-Y simulée""" return [-1j * qubit_state[1], 1j * qubit_state[0]] def _pauli_z_gate(self, qubit_state): """Porte Pauli-Z simulée""" return [qubit_state[0], -qubit_state[1]] def _phase_gate(self, qubit_state, angle): """Porte de phase simulée""" return [qubit_state[0], np.exp(1j * angle) * qubit_state[1]]