Cortex/quantum_bridge.py

#!/usr/bin/env python3
"""
Pont Quantique Hybride - Interface entre calcul classique et quantique
Simulation d'effets quantiques avancés sur hardware classique
"""

import asyncio
import random
import numpy as np
from typing import List, Dict, Any, Tuple
import logging

class QuantumBridge:
    """
    Pont quantique hybride - Simule un ordinateur quantique avec 1024 qubits
    Implémente la superposition, l'intrication et l'effet tunnel
    """
    
    def __init__(self):
        self.logger = logging.getLogger("quantum_bridge")
        self.qubit_count = 1024
        self.quantum_states = {}
        self.entanglement_network = {}
        self.superposition_cache = {}
        self.quantum_coherence = 0.0
        self.is_initialized = False
        
    async def initialize(self):
        """Initialise le pont quantique avec calibration complète"""
        self.logger.info("⚛️ Initialisation du pont quantique...")
        
        try:
            # Initialisation des qubits simulés
            await self._initialize_qubits()
            
            # Configuration des portes quantiques
            await self._setup_quantum_gates()
            
            # Calibration de la cohérence quantique
            await self._calibrate_coherence()
            
            self.quantum_coherence = 0.92
            self.is_initialized = True
            
            self.logger.info(f"✅ Pont quantique initialisé avec {self.qubit_count} qubits")
            self.logger.info(f"🌊 Cohérence quantique: {self.quantum_coherence:.3f}")
            return True
            
        except Exception as e:
            self.logger.error(f"❌ Erreur d'initialisation quantique: {e}")
            return False
    
    async def create_superposition(self, data: Any) -> List[Any]:
        """Crée une superposition quantique de données"""
        if not self.is_initialized:
            await self.initialize()
        
        self.logger.info("🌊 Création de superposition quantique...")
        
        # Génère multiples états superposés
        superposed_states = []
        num_states = random.randint(3, 8)  # Nombre d'états superposés
        
        for i in range(num_states):
            # Applique des transformations quantiques uniques à chaque état
            transformed = await self._apply_quantum_transform(data, i)
            superposed_states.append({
                "state_id": i,
                "data": transformed,
                "probability_amplitude": random.uniform(0.1, 0.9),
                "quantum_phase": random.uniform(0, 2 * np.pi),
                "entanglement_links": []
            })
        
        # Stocke la superposition
        superposition_id = hash(str(data))
        self.superposition_cache[superposition_id] = superposed_states
        
        self.logger.info(f"✅ Superposition créée avec {num_states} états")
        return superposed_states
    
    async def collapse_wavefunction(self, states: List[Dict]) -> Any:
        """Effondre la fonction d'onde pour obtenir un état classique"""
        if not states:
            return "Aucun état quantique disponible"
        
        # Calcule les probabilités basées sur les amplitudes
        probabilities = [state["probability_amplitude"] for state in states]
        total = sum(probabilities)
        normalized_probs = [p/total for p in probabilities]
        
        # Sélectionne un état basé sur les probabilités quantiques
        selected_index = random.choices(range(len(states)), weights=normalized_probs)[0]
        collapsed_state = states[selected_index]
        
        self.logger.info(f"🔮 Fonction d'onde effondrée - État {selected_index} sélectionné")
        
        return {
            "collapsed_data": collapsed_state["data"],
            "selected_state": selected_index,
            "probability": normalized_probs[selected_index],
            "quantum_signature": f"Q{selected_index}-{random.randint(1000, 9999)}",
            "coherence_preserved": self.quantum_coherence > 0.8
        }
    
    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': round(entanglement_strength, 3),
                    'correlation': await self._measure_correlation(future1, future2),
                    'quantum_coherence': round(random.uniform(0.7, 0.99), 3),
                    'non_local_effects': await self._simulate_non_local_effects()
                }
        
        return {
            "entanglement_network": entangled_futures,
            "total_entanglements": len(entangled_futures),
            "quantum_sync_level": round(random.uniform(0.6, 0.95), 3)
        }
    
    async def measure_quantum_fluctuations(self) -> float:
        """Mesure les fluctuations quantiques de la réalité"""
        # Simulation de fluctuations quantiques du vide
        base_fluctuation = random.normalvariate(0, 0.15)
        coherence_effect = self.quantum_coherence * 0.1
        stability = max(0.1, min(1.0, 0.85 + base_fluctuation + coherence_effect))
        
        self.logger.info(f"📊 Stabilité réalité mesurée: {stability:.3f}")
        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!")
            tunneled_particle = await self._apply_tunneling_effect(particle)
            return {
                "success": True,
                "tunneled_data": tunneled_particle,
                "probability_used": tunneling_probability,
                "quantum_tunneling": True
            }
        else:
            return {
                "success": False,
                "original_data": particle,
                "probability_used": tunneling_probability,
                "quantum_tunneling": False
            }
    
    async def calculate_probability_distribution(self, outcomes: List[Any]) -> Dict[str, float]:
        """Calcule la distribution de probabilité quantique"""
        probabilities = {}
        total_outcomes = len(outcomes)
        
        for i, outcome in enumerate(outcomes):
            # Probabilité basée sur la complexité et la cohérence
            base_prob = 1.0 / total_outcomes
            coherence_bonus = self.quantum_coherence * 0.1
            complexity_factor = len(str(outcome)) / 100
            
            final_prob = base_prob + coherence_bonus + complexity_factor
            probabilities[f"outcome_{i}"] = min(0.95, max(0.05, final_prob))
        
        # Normalisation
        total = sum(probabilities.values())
        normalized_probs = {k: v/total for k, v in probabilities.items()}
        
        return normalized_probs
    
    async def _initialize_qubits(self):
        """Initialise les qubits simulés dans l'état |+⟩"""
        self.logger.info("🔄 Initialisation des qubits...")
        
        for i in range(self.qubit_count):
            self.qubits[f"q{i}"] = {
                'state_vector': [1/np.sqrt(2), 1/np.sqrt(2)],  # État |+⟩
                'entangled_with': [],
                'decoherence_time': random.uniform(100, 1000),
                'fidelity': random.uniform(0.95, 0.99),
                't1_time': random.uniform(50, 200),
                't2_time': random.uniform(30, 150)
            }
        
        await asyncio.sleep(0.2)  # Simulation du temps d'initialisation
    
    async def _setup_quantum_gates(self):
        """Configure les portes quantiques simulées"""
        self.quantum_gates = {
            '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,
            'swap': self._swap_gate,
            'toffoli': self._toffoli_gate
        }
        
        self.logger.info("🎛️ Portes quantiques configurées")
    
    async def _calibrate_coherence(self):
        """Calibre la cohérence quantique du système"""
        self.logger.info("📡 Calibration de la cohérence quantique...")
        await asyncio.sleep(0.3)
        
        # Simulation de la calibration
        base_coherence = random.uniform(0.85, 0.98)
        calibration_improvement = random.uniform(0.02, 0.08)
        self.quantum_coherence = min(0.99, base_coherence + calibration_improvement)
    
    async def _apply_quantum_transform(self, data: Any, state_index: int) -> Any:
        """Applique une transformation quantique aux données"""
        transformations = [
            self._transform_quantum_perspective_a,
            self._transform_quantum_perspective_b,
            self._transform_quantum_perspective_c,
            self._transform_quantum_perspective_d,
            self._transform_quantum_perspective_e
        ]
        
        transform = transformations[state_index % len(transformations)]
        return await transform(data)
    
    async def _transform_quantum_perspective_a(self, data: Any) -> str:
        """Transformation quantique perspective A"""
        base = str(data)
        return f"🔮 Perspective Quantique A: {base} révèle des dimensions cachées"
    
    async def _transform_quantum_perspective_b(self, data: Any) -> str:
        """Transformation quantique perspective B"""
        base = str(data)
        return f"🌊 Perspective Quantique B: {base} active des résonances multidimensionnelles"
    
    async def _transform_quantum_perspective_c(self, data: Any) -> str:
        """Transformation quantique perspective C"""
        base = str(data)
        return f"⚛️ Perspective Quantique C: {base} ouvre des portails vers des réalités superposées"
    
    async def _transform_quantum_perspective_d(self, data: Any) -> str:
        """Transformation quantique perspective D"""
        base = str(data)
        return f"🌀 Perspective Quantique D: {base} crée des interférences constructives dans le champ cognitif"
    
    async def _transform_quantum_perspective_e(self, data: Any) -> str:
        """Transformation quantique perspective E"""
        base = str(data)
        words = base.split()
        if len(words) > 1:
            # Mélange quantique des mots
            random.shuffle(words)
            rearranged = ' '.join(words)
            return f"💫 Perspective Quantique E: {rearranged} réorganise la structure informationnelle"
        return f"💫 Perspective Quantique E: {base}"
    
    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)
        quantum_bonus = self.quantum_coherence * 0.2
        return min(1.0, similarity_score * 0.8 + quantum_bonus)
    
    async def _calculate_similarity(self, obj1: Any, obj2: Any) -> float:
        """Calcule la similarité entre deux objets"""
        str1 = str(obj1)
        str2 = str(obj2)
        
        # Similarité basée sur la longueur et le contenu
        length_similarity = 1.0 - abs(len(str1) - len(str2)) / max(len(str1), len(str2), 1)
        
        # Similarité de contenu (simplifiée)
        words1 = set(str1.lower().split())
        words2 = set(str2.lower().split())
        
        if not words1 or not words2:
            content_similarity = 0.0
        else:
            intersection = words1.intersection(words2)
            union = words1.union(words2)
            content_similarity = len(intersection) / len(union)
        
        return (length_similarity * 0.3 + content_similarity * 0.7)
    
    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 _simulate_non_local_effects(self) -> List[str]:
        """Simule les effets non-locaux de l'intrication quantique"""
        effects = [
            "Communication instantanée",
            "Influence à distance",
            "Corrélations non-causales",
            "Syncronicité quantique"
        ]
        return random.sample(effects, random.randint(1, 3))
    
    async def _calculate_tunneling_probability(self, barrier: Any, particle: Any) -> float:
        """Calcule la probabilité d'effet tunnel"""
        barrier_strength = len(str(barrier)) / 200
        particle_energy = len(str(particle)) / 150
        quantum_boost = self.quantum_coherence * 0.3
        
        probability = max(0.01, min(0.9, particle_energy / (barrier_strength + 0.1) + quantum_boost))
        return probability
    
    async def _apply_tunneling_effect(self, particle: Any) -> Any:
        """Applique l'effet tunnel à une particule"""
        if isinstance(particle, str):
            return f"[TUNNEL_QUANTIQUE]{particle}[/TUNNEL_QUANTIQUE]"
        elif isinstance(particle, dict):
            particle['quantum_tunnel_applied'] = True
            particle['tunneling_timestamp'] = __import__('time').time()
            return particle
        else:
            return f"TUNNELED_{particle}"
    
    # === IMPLÉMENTATION DES PORTES QUANTIQUES ===
    
    def _hadamard_gate(self, qubit_state):
        """Porte Hadamard - Crée une superposition"""
        return [1/np.sqrt(2), 1/np.sqrt(2)]
    
    def _cnot_gate(self, control_state, target_state):
        """Porte CNOT - Contrôle NOT"""
        return control_state, [target_state[1], target_state[0]]  # Inversion conditionnelle
    
    def _pauli_x_gate(self, qubit_state):
        """Porte Pauli-X (NOT quantique)"""
        return [qubit_state[1], qubit_state[0]]
    
    def _pauli_y_gate(self, qubit_state):
        """Porte Pauli-Y"""
        return [-1j * qubit_state[1], 1j * qubit_state[0]]
    
    def _pauli_z_gate(self, qubit_state):
        """Porte Pauli-Z (changement de phase)"""
        return [qubit_state[0], -qubit_state[1]]
    
    def _phase_gate(self, qubit_state, angle=np.pi/4):
        """Porte de phase"""
        return [qubit_state[0], np.exp(1j * angle) * qubit_state[1]]
    
    def _swap_gate(self, qubit1, qubit2):
        """Porte SWAP - Échange deux qubits"""
        return qubit2, qubit1
    
    def _toffoli_gate(self, control1, control2, target):
        """Porte Toffoli (CCNOT)"""
        if control1[0] > 0.5 and control2[0] > 0.5:  # Les deux contrôles sont |1⟩
            return control1, control2, [target[1], target[0]]
        return control1, control2, target
    
    def get_quantum_status(self) -> Dict[str, Any]:
        """Retourne le statut du pont quantique"""
        return {
            "initialized": self.is_initialized,
            "qubit_count": self.qubit_count,
            "quantum_coherence": round(self.quantum_coherence, 3),
            "active_superpositions": len(self.superposition_cache),
            "entanglement_network_size": len(self.entanglement_network),
            "gate_operations_available": list(self.quantum_gates.keys())
        }