Cortex/quantum_bridge.py

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]]